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第202卷:国际机器学习会议,2023年7月23-29日,夏威夷檀香山,美国

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编辑:Andreas Krause, Emma Brunskill, Kyunghyun Cho, Barbara Engelhardt, Sivan Sabato, Jonathan Scarlett

[bib][citeproc]

用于密度估计的数据结构

Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal; 第40届国际机器学习会议论文集, PMLR 202:1-18

ClusterFuG:通过多重割集对全连接图进行聚类

Ahmed Abbas, Paul Swoboda; 第40届国际机器学习会议论文集, PMLR 202:19-30

在未见过的样本上的泛化、逻辑推理和学位课程

Emmanuel Abbe, Samy Bengio, Aryo Lotfi, Kevin Rizk; 第40届国际机器学习会议论文集, PMLR 202:31-60

面向大型核模型

Amirhesam Abedsoltan, Mikhail Belkin, Parthe Pandit; 第40届国际机器学习会议论文集, PMLR 202:61-78

专业知识树解决集体决策中的知识局限性

Axel Abels, Tom Lenaerts, Vito Trianni, Ann Nowe; 第40届国际机器学习会议论文集, PMLR 202:79-90

用于估计多值处理异质效应的元学习器的比较

Naoufal Acharki, Ramiro Lugo, Antoine Bertoncello, Josselin Garnier; 第40届国际机器学习会议论文集, PMLR 202:91-132

BNN-DP:通过动态规划对贝叶斯神经网络进行鲁棒性认证

Steven Adams, Andrea Patane, Morteza Lahijanian, Luca Laurenti; 第40届国际机器学习会议论文集, PMLR 202:133-151

SAM远离家庭运作:特征值正则化作为一种动力学现象

Atish Agarwala, Yann Dauphin; 第40届国际机器学习会议论文集, PMLR 202:152-168

二阶回归模型在稳定性边缘表现出渐进锐化

Atish Agarwala, Fabian Pedregosa, Jeffrey Pennington; 第40届国际机器学习会议论文集, PMLR 202:169-195

Elman型RNN在平均场状态下的全局最优性

Andrea Agazzi, Jianfeng Lu, Sayan Mukherjee; 第40届国际机器学习会议论文集, PMLR 202:196-227

SemSup-XC:用于零样本和少样本极端分类的语义监督

Pranjal Aggarwal, Ameet Deshpande, Karthik R Narasimhan; 第40届国际机器学习会议论文集, PMLR 202:228-247

自适应IMLE用于少样本预训练免费生成模型

Mehran Aghabozorgi, Shichong Peng, Ke Li; 第40届国际机器学习会议论文集, PMLR 202:248-264

生成式多模态语言模型的缩放定律

Armen Aghajanyan, Lili Yu, Alexis Conneau, Wei-Ning Hsu, Karen Hambardzumyan, Susan Zhang, Stephen Roller, Naman Goyal, Omer Levy, Luke Zettlemoyer; 第40届国际机器学习会议论文集, PMLR 202:265-279

假说迁移学习与代理分类损失:通过算法稳定性获得泛化界

Anass Aghbalou, Guillaume Staerman; 第40届国际机器学习会议论文集, PMLR 202:280-303

受限因果贝叶斯优化

Virginia Aglietti, Alan Malek, Ira Ktena, Silvia Chiappa; 第40届国际机器学习会议论文集, PMLR 202:304-321

解释能量模型训练中非收敛MCMC的效果

Elisabeth Agoritsas, Giovanni Catania, Aurélien Decelle, Beatriz Seoane; 第40届国际机器学习会议论文集, PMLR 202:322-336

使用大型语言模型模拟多个人类并复制人类受试者研究

Gati V Aher, Rosa I. Arriaga, Adam Tauman Kalai; 第40届国际机器学习会议论文集, PMLR 202:337-371

干预式因果表征学习

Kartik Ahuja, Divyat Mahajan, Yixin Wang, Yoshua Bengio; 第40届国际机器学习会议论文集, PMLR 202:372-407

顺序欠指定工具选择用于因果效应估计

Elisabeth Ailer, Jason Hartford, Niki Kilbertus; 第40届国际机器学习会议论文集, PMLR 202:408-420

Atari-5:将街机学习环境精炼为五个游戏

Matthew Aitchison, Penny Sweetser, Marcus Hutter; 第40届国际机器学习会议论文集, PMLR 202:421-438

迈向可信的视觉模型解释(路径归因)

Naveed Akhtar, Mohammad A. A. K. Jalwana; 第40届国际机器学习会议论文集, PMLR 202:439-457

具有依赖数据的非凸优化的非凸优化的收敛性

Ahmet Alacaoglu, Hanbaek Lyu; 第40届国际机器学习会议论文集, PMLR 202:458-489

通过全息缩减表示重构自注意力机制

Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt; 第40届国际机器学习会议论文集, PMLR 202:490-507

差分隐私中的鞍点法

Wael Alghamdi, Juan Felipe Gomez, Shahab Asoodeh, Flavio Calmon, Oliver Kosut, Lalitha Sankar; 第40届国际机器学习会议论文集, PMLR 202:508-528

已训练网络可能不像你想象的那么复杂:非线性优势

Christian H.X. Ali Mehmeti-Göpel, Jan Disselhoff; 第40届国际机器学习会议论文集, PMLR 202:529-546

一种简单的零样本提示加权技术,用于改进文本-图像模型中的提示集成

James Urquhart Allingham, Jie Ren, Michael W Dusenberry, Xiuye Gu, Yin Cui, Dustin Tran, Jeremiah Zhe Liu, Balaji Lakshminarayanan; 第40届国际机器学习会议论文集, PMLR 202:547-568

分布式学习中的隐私-鲁棒性-效用三难

Youssef Allouah, Rachid Guerraoui, Nirupam Gupta, Rafael Pinot, John Stephan; 第40届国际机器学习会议论文集, PMLR 202:569-626

具有MCMC的差分隐私分布式贝叶斯线性回归

Baris Alparslan, Sinan Yıldırım, Ilker Birbil; 第40届国际机器学习会议论文集, PMLR 202:627-641

鲁棒且可扩展的贝叶斯在线变化点检测

Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch; 第40届国际机器学习会议论文集, PMLR 202:642-663

具有Riesz核的神经Wasserstein梯度流用于度量

Fabian Altekrüger, Johannes Hertrich, Gabriele Steidl; 第40届国际机器学习会议论文集, PMLR 202:664-690

分布式上下文线性赌博机,具有最小-最大最优通信成本

Sanae Amani, Tor Lattimore, András György, Lin Yang; 第40届国际机器学习会议论文集, PMLR 202:691-717

用于生物序列的核Stein差异

Alan Nawzad Amin, Eli N Weinstein, Debora Susan Marks; 第40届国际机器学习会议论文集, PMLR 202:718-767

误指定策略外价值函数估计中的最优近似因子

Philip Amortila, Nan Jiang, Csaba Szepesvari; 第40届国际机器学习会议论文集, PMLR 202:768-790

元最优传输

Brandon Amos, Giulia Luise, Samuel Cohen, Ievgen Redko; 第40届国际机器学习会议论文集, PMLR 202:791-813

在扩展形式博弈中近乎最优的$Φ$-遗憾学习

Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm; 第40届国际机器学习会议论文集, PMLR 202:814-839

锐度与泛化关系的现代视角

Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion; 第40届国际机器学习会议论文集, PMLR 202:840-902

具有大步长SGD学习稀疏特征

Maksym Andriushchenko, Aditya Vardhan Varre, Loucas Pillaud-Vivien, Nicolas Flammarion; 第40届国际机器学习会议论文集, PMLR 202:903-925

用于不规则采样时间序列的神经连续-离散状态空间模型

Abdul Fatir Ansari, Alvin Heng, Andre Lim, Harold Soh; 第40届国际机器学习会议论文集, PMLR 202:926-951

带精简预测的分页

Antonios Antoniadis, Joan Boyar, Marek Elias, Lene Monrad Favrholdt, Ruben Hoeksma, Kim S. Larsen, Adam Polak, Bertrand Simon; 第40届国际机器学习会议论文集, PMLR 202:952-968

混合预测用于在线度量算法

Antonios Antoniadis, Christian Coester, Marek Elias, Adam Polak, Bertrand Simon; 第40届国际机器学习会议论文集, PMLR 202:969-983

指数平滑用于策略外学习

Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba; 第40届国际机器学习会议论文集, PMLR 202:984-1017

多项式时间和私有化学习无界高斯混合模型

Jamil Arbas, Hassan Ashtiani, Christopher Liaw; 第40届国际机器学习会议论文集, PMLR 202:1018-1040

利用机器学习加速数值方法

Sohei Arisaka, Qianxiao Li; 第40届国际机器学习会议论文集, PMLR 202:1041-1059

差分隐私优化中收敛到不动点的线性速率

Raman Arora, Raef Bassily, Tomás González, Cristóbal A Guzmán, Michael Menart, Enayat Ullah; 第40届国际机器学习会议论文集, PMLR 202:1060-1092

原型-样本关系蒸馏:迈向无重放的持续学习

Nader Asadi, Mohammadreza Davari, Sudhir Mudur, Rahaf Aljundi, Eugene Belilovsky; 第40届国际机器学习会议论文集, PMLR 202:1093-1106

在可实现模型中,具有最优速率的私有在线优化

Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar; 第40届国际机器学习会议论文集, PMLR 202:1107-1120

从鲁棒性到隐私再回到鲁棒性

Hilal Asi, Jonathan Ullman, Lydia Zakynthinou; 第40届国际机器学习会议论文集, PMLR 202:1121-1146

具有AdaGrad步长的SGD:对未知参数、无界梯度和仿射方差的高概率全自适应

Amit Attia, Tomer Koren; 第40届国际机器学习会议论文集, PMLR 202:1147-1171

对抗鲁棒的实值函数PAC可学习性

Idan Attias, Steve Hanneke; 第40届国际机器学习会议论文集, PMLR 202:1172-1199

将晶格对称先验融入注意力机制,以实现样本高效的抽象几何推理

Mattia Atzeni, Mrinmaya Sachan, Andreas Loukas; 第40届国际机器学习会议论文集, PMLR 202:1200-1217

学习启动和推理事件驱动的级联过程

Yuval Atzmon, Eli Meirom, Shie Mannor, Gal Chechik; 第40届国际机器学习会议论文集, PMLR 202:1218-1243

最大似然估计器作为Exp3算法学习率估计器的收敛性

Julien Aubert, Luc Lehéricy, Patricia Reynaud-Bouret; 第40届国际机器学习会议论文集, PMLR 202:1244-1275

用于生物序列生成的狄利克雷扩散得分模型

Pavel Avdeyev, Chenlai Shi, Yuhao Tan, Kseniia Dudnyk, Jian Zhou; 第40届国际机器学习会议论文集, PMLR 202:1276-1301

对于可分离数据上的逻辑回归,梯度下降线性收敛

Kyriakos Axiotis, Maxim Sviridenko; 第40届国际机器学习会议论文集, PMLR 202:1302-1319

朴素插补方法内在地正则化了高维线性模型

Alexis Ayme, Claire Boyer, Aymeric Dieuleveut, Erwan Scornet; 第40届国际机器学习会议论文集, PMLR 202:1320-1340

Half-Hop:一种用于减缓消息传递的图上采样方法

Mehdi Azabou, Venkataramana Ganesh, Shantanu Thakoor, Chi-Heng Lin, Lakshmi Sathidevi, Ran Liu, Michal Valko, Petar Veličković, Eva L Dyer; 第40届国际机器学习会议论文集, PMLR 202:1341-1360

CLUTR:通过无监督任务表示学习实现课程学习

Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica; 第40届国际机器学习会议论文集, PMLR 202:1361-1395

个性化子图联邦学习

Jinheon Baek, Wonyong Jeong, Jiongdao Jin, Jaehong Yoon, Sung Ju Hwang; 第40届国际机器学习会议论文集, PMLR 202:1396-1415

用于视觉、语音和语言的高效自监督学习,带有上下文目标表示

Alexei Baevski, Arun Babu, Wei-Ning Hsu, Michael Auli; 第40届国际机器学习会议论文集, PMLR 202:1416-1429

用于潜在变量模型估计的高效预条件随机梯度下降

Charlotte Baey, Maud Delattre, Estelle Kuhn, Jean-Benoist Leger, Sarah Lemler; 第40届国际机器学习会议论文集, PMLR 202:1430-1453

以一石二鸟:利用野数据进行分布外泛化和检测

Haoyue Bai, Gregory Canal, Xuefeng Du, Jeongyeol Kwon, Robert D Nowak, Yixuan Li; 第40届国际机器学习会议论文集, PMLR 202:1454-1471

通过查询计算树优化来回答知识图上的复杂逻辑查询

Yushi Bai, Xin Lv, Juanzi Li, Lei Hou; 第40届国际机器学习会议论文集, PMLR 202:1472-1491

线性最优部分传输嵌入

Yikun Bai, Ivan Vladimir Medri, Rocio Diaz Martin, Rana Shahroz, Soheil Kolouri; 第40届国际机器学习会议论文集, PMLR 202:1492-1520

隐式图神经网络:单调算子视角

Justin Baker, Qingsong Wang, Cory D Hauck, Bao Wang; 第40届国际机器学习会议论文集, PMLR 202:1521-1548

张量分解与控制理论结合:学习一般线性动力系统混合模型

Ainesh Bakshi, Allen Liu, Ankur Moitra, Morris Yau; 第40届国际机器学习会议论文集, PMLR 202:1549-1563

用于分布式架构上的Nyström近似的块子采样随机Hadamard变换

Oleg Balabanov, Matthias Beaupère, Laura Grigori, Victor Lederer; 第40届国际机器学习会议论文集, PMLR 202:1564-1576

高效的在线强化学习与离线数据

Philip J. Ball, Laura Smith, Ilya Kostrikov, Sergey Levine; 第40届国际机器学习会议论文集, PMLR 202:1577-1594

Mirror Sinkhorn:传输多面体上的快速在线优化

Marin Ballu, Quentin Berthet; 第40届国际机器学习会议论文集, PMLR 202:1595-1613

关于鲁棒和非鲁棒神经表示的功能相似性

András Balogh, Márk Jelasity; 第40届国际机器学习会议论文集, PMLR 202:1614-1635

具有单一样本的鲁棒预算分配

Santiago R. Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang; 第40届国际机器学习会议论文集, PMLR 202:1636-1659

具有多对数更新时间的动态约束次模优化

Kiarash Banihashem, Leyla Biabani, Samira Goudarzi, Mohammadtaghi Hajiaghayi, Peyman Jabbarzade, Morteza Monemizadeh; 第40届国际机器学习会议论文集, PMLR 202:1660-1691

一个Transformer适应大规模多模态扩散模型

Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu; 第40届国际机器学习会议论文集, PMLR 202:1692-1717

优化跨数据中心联邦学习的协作结构

Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He; 第40届国际机器学习会议论文集, PMLR 202:1718-1736

MultiDiffusion:融合扩散路径以实现可控图像生成

Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel; 第40届国际机器学习会议论文集, PMLR 202:1737-1752

具有一般效用的强化学习:更简单的方差缩减和大型状态-动作空间

Anas Barakat, Ilyas Fatkhullin, Niao He; 第40届国际机器学习会议论文集, PMLR 202:1753-1800

可解释的神经符号概念推理

Pietro Barbiero, Gabriele Ciravegna, Francesco Giannini, Mateo Espinosa Zarlenga, Lucie Charlotte Magister, Alberto Tonda, Pietro Lio, Frederic Precioso, Mateja Jamnik, Giuseppe Marra; 第40届国际机器学习会议论文集, PMLR 202:1801-1825

Moccasin:神经网络的高效张量重构

Burak Bartan, Haoming Li, Harris Teague, Christopher Lott, Bistra Dilkina; 第40届国际机器学习会议论文集, PMLR 202:1826-1837

用户级私有随机凸优化,具有最优速率

Raef Bassily, Ziteng Sun; 第40届国际机器学习会议论文集, PMLR 202:1838-1851

基于检索模型的统计视角

Soumya Basu, Ankit Singh Rawat, Manzil Zaheer; 第40届国际机器学习会议论文集, PMLR 202:1852-1886

在开放式任务空间中以人类时间尺度进行适应

Jakob Bauer, Kate Baumli, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Satinder Singh, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei M Zhang; 第40届国际机器学习会议论文集, PMLR 202:1887-1935

用于序列模型的拟合优度检验的核Stein检验

Jerome Baum, Heishiro Kanagawa, Arthur Gretton; 第40届国际机器学习会议论文集, PMLR 202:1936-1953

具有单侧反馈的个体公平学习

Yahav Bechavod, Aaron Roth; 第40届国际机器学习会议论文集, PMLR 202:1954-1977

使用Transformer预测常微分方程

Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus; 第40届国际机器学习会议论文集, PMLR 202:1978-2002

使用Shapley值解释强化学习

Daniel Beechey, Thomas M. S. Smith, Özgür Şimşek; 第40届国际机器学习会议论文集, PMLR 202:2003-2014

TIDE:用于图上深度学习的时间导数扩散

Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov; 第40届国际机器学习会议论文集, PMLR 202:2015-2030

CHITA般快速:通过组合优化进行神经网络剪枝

Riade Benbaki, Wenyu Chen, Xiang Meng, Hussein Hazimeh, Natalia Ponomareva, Zhe Zhao, Rahul Mazumder; 第40届国际机器学习会议论文集, PMLR 202:2031-2049

连续参数化的混合模型

Christopher M Bender, Yifeng Shi, Marc Niethammer, Junier Oliva; 第40届国际机器学习会议论文集, PMLR 202:2050-2062

可控神经符号回归

Tommaso Bendinelli, Luca Biggio, Pierre-Alexandre Kamienny; 第40届国际机器学习会议论文集, PMLR 202:2063-2077

用于认知不确定性量化的二阶评分规则

Viktor Bengs, Eyke Hüllermeier, Willem Waegeman; 第40届国际机器学习会议论文集, PMLR 202:2078-2091

认证鲁棒神经网络:泛化与抗腐蚀

Amine Bennouna, Ryan Lucas, Bart Van Parys; 第40届国际机器学习会议论文集, PMLR 202:2092-2112

高斯过程在Helmholtz(亥姆霍尔兹)上的应用:更流畅的海洋洋流模型

Renato Berlinghieri, Brian L. Trippe, David R. Burt, Ryan James Giordano, Kaushik Srinivasan, Tamay Özgökmen, Junfei Xia, Tamara Broderick; 第40届国际机器学习会议论文集, PMLR 202:2113-2163

在线贝叶斯劝说中的最优速率和高效算法

Martino Bernasconi, Matteo Castiglioni, Andrea Celli, Alberto Marchesi, Francesco Trovò, Nicola Gatti; 第40届国际机器学习会议论文集, PMLR 202:2164-2183

约束Phi-均衡

Martino Bernasconi, Matteo Castiglioni, Alberto Marchesi, Francesco Trovò, Nicola Gatti; 第40届国际机器学习会议论文集, PMLR 202:2184-2205

可微分和可迁移结构学习

Jeroen Berrevoets, Nabeel Seedat, Fergus Imrie, Mihaela Van Der Schaar; 第40届国际机器学习会议论文集, PMLR 202:2206-2233

通过边细分从ReLU网络提取多面体复形

Arturs Berzins; 第40届国际机器学习会议论文集, PMLR 202:2234-2244

使用 1-Lipschitz 神经网络的带符号距离函数的鲁棒单分类

Louis Béthune, Paul Novello, Guillaume Coiffier, Thibaut Boissin, Mathieu Serrurier, Quentin Vincenot, Andres Troya-Galvis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2245-2271

具有因果正则化的神经算法推理

Beatrice Bevilacqua, Kyriacos Nikiforou, Borja Ibarz, Ioana Bica, Michela Paganini, Charles Blundell, Jovana Mitrovic, Petar Veličković; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2272-2288

用于无似然推理的最大均值差异的最优加权估计器

Ayush Bharti, Masha Naslidnyk, Oscar Key, Samuel Kaski, Francois-Xavier Briol; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2289-2312

带有提示和查询的 Bandit 在线线性优化

Aditya Bhaskara, Ashok Cutkosky, Ravi Kumar, Manish Purohit; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2313-2336

通过强自适应在线学习改进在线共形预测

Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2337-2363

生成模型中的数据复制:形式化框架

Robi Bhattacharjee, Sanjoy Dasgupta, Kamalika Chaudhuri; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2364-2396

Pythia:用于分析大型语言模型在训练和扩展过程的套件

Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, Usvsn Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar Van Der Wal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2397-2430

StriderNet:一种用于在粗糙能量景观上优化原子结构的图强化学习方法

Vaibhav Bihani, Sahil Manchanda, Srikanth Sastry, Sayan Ranu, N M Anoop Krishnan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2431-2451

使用随机过程扩散将时间数据建模为连续函数

Marin Biloš, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Stephan Günnemann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2452-2470

进还是出?图像识别的分布外检测评估

Julian Bitterwolf, Maximilian Müller, Matthias Hein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2471-2506

不变性槽注意力:基于槽中心参考系的物体发现

Ondrej Biza, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2507-2527

从有效电阻的角度理解 GNN 中的过挤压

Mitchell Black, Zhengchao Wan, Amir Nayyeri, Yusu Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2528-2547

单元缩放:开箱即用的低精度训练

Charlie Blake, Douglas Orr, Carlo Luschi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2548-2576

FLEX:一种用于非线性系统的自适应探索算法

Matthieu Blanke, Marc Lelarge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2577-2591

并非所有强 Rayleigh 分布都有小的概率生成电路

Markus Bläser; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2592-2602

学习稀疏观测相互作用系统的动力学

Linus Bleistein, Adeline Fermanian, Anne-Sophie Jannot, Agathe Guilloux; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2603-2640

在存在偏差的情况下基于多个排名的子集选择:多赢家投票分数函数的公平性约束的有效性

Niclas Boehmer, L. Elisa Celis, Lingxiao Huang, Anay Mehrotra, Nisheeth K. Vishnoi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2641-2688

Mallows 模型随选项数量变化的性质:对实验者的警告

Niclas Boehmer, Piotr Faliszewski, Sonja Kraiczy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2689-2711

神经网络的鲁棒优化视角,用于通过反例引导的修复

David Boetius, Stefan Leue, Tobias Sutter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2712-2737

超越鲁棒性通用定律:随机特征和神经切核的更精确定律

Simone Bombari, Shayan Kiyani, Marco Mondelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2738-2776

用于 M/EEG 信号的对称正定矩阵上的切片-Wasserstein

Clément Bonet, Benoı̂t Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2777-2805

球形傅里叶神经算子:在球体上学习稳定的动力学

Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2806-2823

强化学习中的后悔探索和坏情节控制

Victor Boone, Bruno Gaujal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2824-2856

模型无关的泛化难度度量

Akhilan Boopathy, Kevin Liu, Jaedong Hwang, Shu Ge, Asaad Mohammedsaleh, Ila R Fiete; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2857-2884

回归在因果知识的概率作用下会受益吗?

Shahine Bouabid, Jake Fawkes, Dino Sejdinovic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2885-2913

寻找用于无源域自适应的可泛化方法

Malik Boudiaf, Tom Denton, Bart Van Merrienboer, Vincent Dumoulin, Eleni Triantafillou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2914-2931

通过改进的动态 Gibbs 采样实现零和博弈的量子加速

Adam Bouland, Yosheb M Getachew, Yujia Jin, Aaron Sidford, Kevin Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2932-2952

扩散模型作为艺术家:我们是否正在缩小人与机器之间的差距?

Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:2953-3002

解决奖励假设

Michael Bowling, John D Martin, David Abel, Will Dabney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3003-3020

ILLUME:通过人类互动解释视觉语言模型

Manuel Brack, Patrick Schramowski, Björn Deiseroth, Kristian Kersting; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3021-3037

可证明地学习以对象为中心的表征

Jack Brady, Roland S. Zimmermann, Yash Sharma, Bernhard Schölkopf, Julius Von Kügelgen, Wieland Brendel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3038-3062

量化人类在社交和导航网络中的先验知识

Gecia Bravo-Hermsdorff; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3063-3105

生成线性网络在 Bures-Wasserstein 损失训练下的临界点和收敛性分析

Pierre Bréchet, Katerina Papagiannouli, Jing An, Guido Montufar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3106-3147

从噪声中涌现稀疏表征

Trenton Bricken, Rylan Schaeffer, Bruno Olshausen, Gabriel Kreiman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3148-3191

以低成本实现差分隐私的大模型优化

Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3192-3218

具有成本感知训练的机器学习力场

Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3219-3232

标签差分隐私和私有训练数据发布

Robert Istvan Busa-Fekete, Andres Munoz Medina, Umar Syed, Sergei Vassilvitskii; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3233-3251

SSL 的相互作用:增强、归纳偏差和泛化

Vivien Cabannes, Bobak Kiani, Randall Balestriero, Yann Lecun, Alberto Bietti; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3252-3298

在线机制设计用于信息获取

Federico Cacciamani, Matteo Castiglioni, Nicola Gatti; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3299-3326

MyoDex:一种用于灵巧操作的可泛化先验

Vittorio Caggiano, Sudeep Dasari, Vikash Kumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3327-3346

宽卷积神经网络可以学习什么?

Francesco Cagnetta, Alessandro Favero, Matthieu Wyart; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3347-3379

基于高阶累积量对潜变量的因果发现

Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3380-3407

MPNN 与图 Transformer 之间的联系

Chen Cai, Truong Son Hy, Rose Yu, Yusu Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3408-3430

Ske2Grid:用于动作识别的骨架到网格表征学习

Dongqi Cai, Yangyuxuan Kang, Anbang Yao, Yurong Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3431-3441

用于回归的推断随机树

Yuchao Cai, Yuheng Ma, Yiwei Dong, Hanfang Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3442-3468

具有方差约减的循环块坐标下降用于复合非凸优化

Xufeng Cai, Chaobing Song, Stephen Wright, Jelena Diakonikolas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3469-3494

鲁棒权重签名:像修补权重一样轻松获得鲁棒性?

Ruisi Cai, Zhenyu Zhang, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3495-3506

具有预算的重复第二价格拍卖中的协调动态竞价

Yang Cai, Weiqiang Zheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3507-3524

多智能体学习自学习者

Mine Melodi Caliskan, Francesco Chini, Setareh Maghsudi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3525-3540

高效学习基于网格的物理模拟,具有双步多尺度图神经网络

Yadi Cao, Menglei Chai, Minchen Li, Chenfanfu Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3541-3558

用于潜高斯过程的双 Kullback-Leibler 最小化变分稀疏逆 Cholesky 近似

Jian Cao, Myeongjong Kang, Felix Jimenez, Huiyan Sang, Florian Tobias Schaefer, Matthias Katzfuss; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3559-3576

通过多教师渐进式蒸馏学习轻量级对象检测器

Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3577-3598

从两次行观测中进行单边矩阵补全

Steven Cao, Percy Liang, Gregory Valiant; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3599-3624

使用 PARiS 粒子 Gibbs 进行状态和参数学习

Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3625-3675

通过在线强化学习将大型语言模型 grounding 到交互式环境中

Thomas Carta, Clément Romac, Thomas Wolf, Sylvain Lamprier, Olivier Sigaud, Pierre-Yves Oudeyer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3676-3713

用于多目标强化学习中自适应探索的 Stein 变分目标生成

Nicolas Castanet, Olivier Sigaud, Sylvain Lamprier; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3714-3731

通过蒙特卡洛树搜索实现可扩展的安全策略改进

Alberto Castellini, Federico Bianchi, Edoardo Zorzi, Thiago D. Simão, Alessandro Farinelli, Matthijs T. J. Spaan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3732-3756

LESS-VFL:用于垂直联邦学习的通信高效特征选择

Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3757-3781

文本向量器的鲁棒性研究

Rémi Catellier, Samuel Vaiter, Damien Garreau; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3782-3814

黎曼流形上的全局光滑函数学习

Juan Cervino, Luiz F. O. Chamon, Benjamin David Haeffele, Rene Vidal, Alejandro Ribeiro; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3815-3854

打乱 SGD 的更紧界限:随机排列及其他

Jaeyoung Cha, Jaewook Lee, Chulhee Yun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3855-3912

自动编码器中强制正交的潜在空间:一种学习解耦表征的方法

Jaehoon Cha, Jeyan Thiyagalingam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3913-3948

STEERING:基于 Stein 信息导向的基于模型的强化学习探索

Souradip Chakraborty, Amrit Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3949-3978

高维稀疏线性上下文赌博机的 Thompson 采样

Sunrit Chakraborty, Saptarshi Roy, Ambuj Tewari; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:3979-4008

使用奇异值分解进行深度强化学习的表征和探索

Yash Chandak, Shantanu Thakoor, Zhaohan Daniel Guo, Yunhao Tang, Remi Munos, Will Dabney, Diana L Borsa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4009-4034

用于顺序学习的基于记忆的双高斯过程

Paul Edmund Chang, Prakhar Verma, S. T. John, Arno Solin, Mohammad Emtiyaz Khan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4035-4054

Muse:通过掩码生成 Transformer 进行文本到图像生成

Huiwen Chang, Han Zhang, Jarred Barber, Aaron Maschinot, Jose Lezama, Lu Jiang, Ming-Hsuan Yang, Kevin Patrick Murphy, William T. Freeman, Michael Rubinstein, Yuanzhen Li, Dilip Krishnan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4055-4075

关于分数生成模型保守性质的研究

Chen-Hao Chao, Wei-Fang Sun, Bo-Wun Cheng, Chun-Yi Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4076-4095

鲁棒且私有的随机线性赌博机

Vasileios Charisopoulos, Hossein Esfandiari, Vahab Mirrokni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4096-4115

流式子模组最大化与差分隐私

Anamay Chaturvedi, Huy Nguyen, Thy Dinh Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4116-4143

丢弃数据为什么能改善最差分组误差?

Kamalika Chaudhuri, Kartik Ahuja, Martin Arjovsky, David Lopez-Paz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4144-4188

协作多智能体异构多臂赌博机

Ronshee Chawla, Daniel Vial, Sanjay Shakkottai, R. Srikant; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4189-4217

修正在线策略梯度方法中的折扣因子不匹配

Fengdi Che, Gautham Vasan, A. Rupam Mahmood; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4218-4240

通过非线性函数理论实现快速联邦机器学习解绑

Tianshi Che, Yang Zhou, Zijie Zhang, Lingjuan Lyu, Ji Liu, Da Yan, Dejing Dou, Jun Huan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4241-4268

关于时序差分学习的统计效益

David Cheikhi, Daniel Russo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4269-4293

多层神经网络作为可训练的 Hilbert 空间阶梯

Zhengdao Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4294-4329

超越稳定性边缘:通过两步梯度更新

Lei Chen, Joan Bruna; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4330-4391

Trompt:面向表格数据的更好深度神经网络

Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou, Ting-Wei Chen, Tien-Hao Chang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4392-4434

在分位数损失函数下的差分隐私随机凸优化

Du Chen, Geoffrey A. Chua; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4435-4461

DDIM 类型采样器的非渐近分析:超越线性扩散的恢复-降解

Sitan Chen, Giannis Daras, Alex Dimakis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4462-4484

概率时间序列插补的应用:可证明收敛的 Schrödinger Bridge

Yu Chen, Wei Deng, Shikai Fang, Fengpei Li, Nicole Tianjiao Yang, Yikai Zhang, Kashif Rasul, Shandian Zhe, Anderson Schneider, Yuriy Nevmyvaka; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4485-4513

ED-Batch:通过学习有限状态机实现动态神经网络的高效自动批处理

Siyuan Chen, Pratik Pramod Fegade, Tianqi Chen, Phillip Gibbons, Todd Mowry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4514-4528

对于无似然推理,学习摘要统计是必要的吗?

Yanzhi Chen, Michael U. Gutmann, Adrian Weller; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4529-4544

3D 环境中的子等变图强化学习

Runfa Chen, Jiaqi Han, Fuchun Sun, Wenbing Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4545-4565

GuardHFL:异构联邦学习的隐私守护者

Hanxiao Chen, Meng Hao, Hongwei Li, Kangjie Chen, Guowen Xu, Tianwei Zhang, Xilin Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4566-4584

通过离散扩散模型进行高效且度数引导的图生成

Xiaohui Chen, Jiaxing He, Xu Han, Liping Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4585-4610

演化语义原型以改进生成式零样本学习

Shiming Chen, Wenjin Hou, Ziming Hong, Xiaohan Ding, Yibing Song, Xinge You, Tongliang Liu, Kun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4611-4622

探索模型库中用于域泛化的多样化知识

Yimeng Chen, Tianyang Hu, Fengwei Zhou, Zhenguo Li, Zhi-Ming Ma; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4623-4640

具有改进的每迭代复杂度的去中心化随机双层优化

Xuxing Chen, Minhui Huang, Shiqian Ma, Krishna Balasubramanian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4641-4671

扩散模型在低维数据上的分数近似、估计和分布恢复

Minshuo Chen, Kaixuan Huang, Tuo Zhao, Mengdi Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4672-4712

群对称下的概率散度学习样本复杂度

Ziyu Chen, Markos Katsoulakis, Luc Rey-Bellet, Wei Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4713-4734

分数生成模型的改进分析:在最少平滑假设下的用户友好界限

Hongrui Chen, Holden Lee, Jianfeng Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4735-4763

通过双指数移动平均进行双向观察,以实现自适应和非自适应动量优化器

Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4764-4803

HarsanyiNet:单次前向传播计算精确 Shapley 值

Lu Chen, Siyu Lou, Keyan Zhang, Jin Huang, Quanshi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4804-4825

泛化隐式跟随正则化领导者

Keyi Chen, Francesco Orabona; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4826-4838

用于节点和图学习的 Fisher 信息嵌入

Dexiong Chen, Paolo Pellizzoni, Karsten Borgwardt; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4839-4855

超越边缘的稳定性:通过两步梯度更新

Jiaxuan Chen, Yu Qi, Gang Pan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4856-4866

分层对抗鲁棒性及拒绝

Jiefeng Chen, Jayaram Raghuram, Jihye Choi, Xi Wu, Yingyu Liang, Somesh Jha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4867-4894

多任务分层对抗逆强化学习

Jiayu Chen, Dipesh Tamboli, Tian Lan, Vaneet Aggarwal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4895-4920

模型可迁移性与响应决策主体

Yatong Chen, Zeyu Tang, Kun Zhang, Yang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4921-4952

用于增量自主探索的分层状态发现

Liyu Chen, Andrea Tirinzoni, Alessandro Lazaric, Matteo Pirotta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:4953-5001

用于连接随机和对抗性在线凸优化的乐观在线镜像下降

Sijia Chen, Wei-Wei Tu, Peng Zhao, Lijun Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5002-5035

学习优化可微博弈

Xuxi Chen, Nelson Vadori, Tianlong Chen, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5036-5051

预算下的协调动态竞价在重复第二价格拍卖中

Yurong Chen, Qian Wang, Zhijian Duan, Haoran Sun, Zhaohua Chen, Xiang Yan, Xiaotie Deng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5052-5086

用于优化文本生成的半离线强化学习

Changyu Chen, Xiting Wang, Yiqiao Jin, Victor Ye Dong, Li Dong, Jie Cao, Yi Liu, Rui Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5087-5103

学习在可揭示 POMDP 中进行学习的下界

Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5104-5161

隐式神经空间表示用于依赖时间偏微分方程

Honglin Chen, Rundi Wu, Eitan Grinspun, Changxi Zheng, Peter Yichen Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5162-5177

BEATs:具有声学分词器的音频预训练

Sanyuan Chen, Yu Wu, Chengyi Wang, Shujie Liu, Daniel Tompkins, Zhuo Chen, Wanxiang Che, Xiangzhan Yu, Furu Wei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5178-5193

学习激励信息获取:正确评分规则与委托代理模型

Siyu Chen, Jibang Wu, Yifan Wu, Zhuoran Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5194-5218

用于非光滑非凸随机优化的更快无梯度算法

Lesi Chen, Jing Xu, Luo Luo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5219-5233

通过稀疏模型自适应实现高效的个性化联邦学习

Daoyuan Chen, Liuyi Yao, Dawei Gao, Bolin Ding, Yaliang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5234-5256

谱保持图粗化的Gromov-Wasserstein几何视角

Yifan Chen, Rentian Yao, Yun Yang, Jie Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5257-5281

如何解决模型风险管理中的单调性问题?

Dangxing Chen, Weicheng Ye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5282-5295

草图无偏线性回归:降采样所扮演的角色

Xin Chen, Yicheng Zeng, Siyue Yang, Qiang Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5296-5326

用于合作多智能体强化学习的上下文感知贝叶斯网络Actor-Critic方法

Dingyang Chen, Qi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5327-5350

双向学习用于离线基于模型的生物序列设计

Can Chen, Yingxue Zhang, Xue Liu, Mark Coates; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5351-5366

学习跳跃:用于生成模型的稀疏化和增厚潜计数

Tianqi Chen, Mingyuan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5367-5382

具有分布专业化专家的终身语言预训练

Wuyang Chen, Yanqi Zhou, Nan Du, Yanping Huang, James Laudon, Zhifeng Chen, Claire Cui; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5383-5395

广义光滑非凸优化与光滑非凸优化效率相同

Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5396-5427

带有区间目标的弱监督回归

Xin Cheng, Yuzhou Cao, Ximing Li, Bo An, Lei Feng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5428-5448

PLay:使用潜变量扩散进行参数化条件布局生成

Chin-Yi Cheng, Forrest Huang, Gang Li, Yang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5449-5471

从单个对抗性样本中识别对手

Minhao Cheng, Rui Min, Haochen Sun, Pin-Yu Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5472-5484

通过享乐主义博弈进行并行在线聚类

Xiaotong Cheng, Cheng Pan, Setareh Maghsudi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5485-5503

Mu$^2$SLAM:多任务、多语言语音和语言模型

Yong Cheng, Yu Zhang, Melvin Johnson, Wolfgang Macherey, Ankur Bapna; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5504-5520

理解在线学习中的反馈在具有切换成本情况下的作用

Duo Cheng, Xingyu Zhou, Bo Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5521-5543

Transformer编码器的表达能力的上界

David Chiang, Peter Cholak, Anand Pillay; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5544-5562

利用中点混合进行可证明的多元数据中的多样化特征学习

Muthu Chidambaram, Xiang Wang, Chenwei Wu, Rong Ge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5563-5599

隐藏数据有益:关于稀疏编码中的掩码作用

Muthu Chidambaram, Chenwei Wu, Yu Cheng, Rong Ge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5600-5615

PINA:利用预测实例邻域聚合的预测实例邻域聚合来利用极端多标签分类中的侧信息

Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5616-5630

通过非凸低秩半定松弛证明训练的对抗性神经网络的认证

Hong-Ming Chiu, Richard Y. Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5631-5660

神经潜变量对齐器:用于复杂、自然神经数据表示的跨试验对齐

Cheol Jun Cho, Edward Chang, Gopala Anumanchipalli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5661-5676

关于循环客户端参与下联邦平均的收敛性

Yae Jee Cho, Pranay Sharma, Gauri Joshi, Zheng Xu, Satyen Kale, Tong Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5677-5721

GREAD:图神经网络反应扩散网络

Jeongwhan Choi, Seoyoung Hong, Noseong Park, Sung-Bae Cho; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5722-5747

隐式视频表示是否需要过拟合?

Hee Min Choi, Hyoa Kang, Dokwan Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5748-5770

基于Cox比例风险模型的半参数上下文定价算法

Young-Geun Choi, Gi-Soo Kim, Yunseo Choi, Wooseong Cho, Myunghee Cho Paik, Min-Hwan Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5771-5786

基于恢复的生成模型

Jaemoo Choi, Yesom Park, Myungjoo Kang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5787-5816

面向分布外检测器的基于概念的解释

Jihye Choi, Jayaram Raghuram, Ryan Feng, Jiefeng Chen, Somesh Jha, Atul Prakash; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5817-5837

带有建议的主动因果结构学习

Davin Choo, Themistoklis Gouleakis, Arnab Bhattacharyya; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5838-5867

加权因果DAG的新指标和搜索算法

Davin Choo, Kirankumar Shiragur; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5868-5903

离散观测扩散的计算Doob h-变换用于在线滤波

Nicolas Chopin, Andras Fulop, Jeremy Heng, Alexandre H. Thiery; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5904-5923

用于隐私机器学习的多周期矩阵分解机制

Christopher A. Choquette-Choo, Hugh Brendan Mcmahan, J Keith Rush, Abhradeep Guha Thakurta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5924-5963

用随机特征驯服图核

Krzysztof Marcin Choromanski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5964-5977

高效图场积分器与点云的结合

Krzysztof Marcin Choromanski, Arijit Sehanobish, Han Lin, Yunfan Zhao, Eli Berger, Tetiana Parshakova, Alvin Pan, David Watkins, Tianyi Zhang, Valerii Likhosherstov, Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Deepali Jain, Tamas Sarlos, Snigdha Chaturvedi, Adrian Weller; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:5978-6004

ContraBAR:对比贝叶斯自适应深度强化学习

Era Choshen, Aviv Tamar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6005-6027

遗忘式非学习:迈向机器学习中的真正数据删除

Rishav Chourasia, Neil Shah; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6028-6073

Patch级别的路由在混合专家模型中的应用已被证明对卷积神经网络是样本高效的

Mohammed Nowaz Rabbani Chowdhury, Shuai Zhang, Meng Wang, Sijia Liu, Pin-Yu Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6074-6114

CNNs在第一层学习了什么以及为什么?线性系统视角

Rhea Chowers, Yair Weiss; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6115-6139

通过多任务语言建模统一分子和文本表示

Dimitrios Christofidellis, Giorgio Giannone, Jannis Born, Ole Winther, Teodoro Laino, Matteo Manica; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6140-6157

使用Wasserstein Barycenter匹配用于图大小的消息传递神经网络的泛化

Xu Chu, Yujie Jin, Xin Wang, Shanghang Zhang, Yasha Wang, Wenwu Zhu, Hong Mei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6158-6184

形状引导的双记忆学习用于3D异常检测

Yu-Min Chu, Chieh Liu, Ting-I Hsieh, Hwann-Tzong Chen, Tyng-Luh Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6185-6194

死亡截断下的乘法鲁棒离策略评估与学习

Jianing Chu, Shu Yang, Wenbin Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6195-6227

InfoOT:信息最大化最优传输

Ching-Yao Chuang, Stefanie Jegelka, David Alvarez-Melis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6228-6242

普遍性的玩具模型:反向工程网络如何学习群运算

Bilal Chughtai, Lawrence Chan, Neel Nanda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6243-6267

面向节点分类的分布无关预测集

Jase Clarkson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6268-6278

顺序战略筛选

Lee Cohen, Saeed Sharifi -Malvajerdi, Kevin Stangl, Ali Vakilian, Juba Ziani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6279-6295

通过特征流形学习进行少样本特征选择

David Cohen, Tal Shnitzer, Yuval Kluger, Ronen Talmon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6296-6319

用于全球规模物种测绘的形状引导双重神经表示

Elijah Cole, Grant Van Horn, Christian Lange, Alexander Shepard, Patrick Leary, Pietro Perona, Scott Loarie, Oisin Mac Aodha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6320-6342

K-SHAP:用于匿名多智能体状态-动作对的策略聚类算法

Andrea Coletta, Svitlana Vyetrenko, Tucker Balch; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6343-6363

推断相互作用系统中的关系势

Armand Comas, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia Camps; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6364-6383

用于处理效应估计的任务特定实验设计

Bethany Connolly, Kim Moore, Tobias Schwedes, Alexander Adam, Gary Willis, Ilya Feige, Christopher Frye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6384-6401

用于奇偶校验的课程学习的数学模型

Elisabetta Cornacchia, Elchanan Mossel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6402-6423

学习最大化互信息以实现动态特征选择

Ian Connick Covert, Wei Qiu, Mingyu Lu, Na Yoon Kim, Nathan J White, Su-In Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6424-6447

对对比学习中的弱监督作用的再思考

Jingyi Cui, Weiran Huang, Yifei Wang, Yisen Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6448-6467

深度随机网络的贝叶斯最优学习,宽度极广

Hugo Cui, Florent Krzakala, Lenka Zdeborova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6468-6521

具有泛化性能保证的通用表示学习框架

Junbiao Cui, Jianqing Liang, Qin Yue, Jiye Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6522-6544

IRNeXt:重新思考用于图像恢复的卷积网络设计

Yuning Cui, Wenqi Ren, Sining Yang, Xiaochun Cao, Alois Knoll; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6545-6564

以恒定内存将数据集蒸馏扩展到ImageNet-1K

Justin Cui, Ruochen Wang, Si Si, Cho-Jui Hsieh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6565-6590

Transformer-based目标检测和分割的学习动态查询组合

Yiming Cui, Linjie Yang, Haichao Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6591-6602

临床试验中具有治疗益处的群体的适应性识别:机器学习的挑战与解决方案

Alicia Curth, Alihan Hüyük, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6603-6622

寻找见解,而非万能灵丹:迈向异质处理效应估计中模型选择困境的揭秘

Alicia Curth, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6623-6642

通过在线到非凸转换实现最优随机非光滑非凸优化

Ashok Cutkosky, Harsh Mehta, Francesco Orabona; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6643-6670

Monge、Bregman和Occam:高维特征稀疏映射的可解释最优传输

Marco Cuturi, Michal Klein, Pierre Ablin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6671-6682

从嘈杂的固定点迭代到中心化和联邦学习的私有ADMM

Edwige Cyffers, Aurélien Bellet, Debabrota Basu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6683-6711

Chameleon:通过同伴图像适应来在联邦学习中植入持久后门

Yanbo Dai, Songze Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6712-6725

具有线性函数逼近的对抗性MDP的精炼遗憾

Yan Dai, Haipeng Luo, Chen-Yu Wei, Julian Zimmert; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6726-6759

MultiRobustBench:基准测试多攻击的鲁棒性

Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6760-6785

中度分布外数据的探索用于域泛化

Rui Dai, Yonggang Zhang, Zhen Fang, Bo Han, Xinmei Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6786-6817

用于离策略强化学习的轨迹感知资格迹

Brett Daley, Martha White, Christopher Amato, Marlos C. Machado; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6818-6835

通过粒子梯度下降实现高效位移凸优化

Hadi Daneshmand, Jason D. Lee, Chi Jin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6836-6854

多重思维实现对象导航的元能力解耦

Ronghao Dang, Lu Chen, Liuyi Wang, Zongtao He, Chengju Liu, Qijun Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6855-6872

深度线性网络中的神经坍塌:从平衡到不平衡数据

Hien Dang, Tho Tran Huu, Stanley Osher, Hung The Tran, Nhat Ho, Tan Minh Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6873-6947

强化学习可以通过多个奖励来提高效率

Christoph Dann, Yishay Mansour, Mehryar Mohri; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6948-6967

最佳双向策略优化

Christoph Dann, Chen-Yu Wei, Julian Zimmert; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:6968-7008

具有最短路径扩散的图像生成

Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7009-7024

通过批处理进行高效列表可解码回归

Abhimanyu Das, Ayush Jain, Weihao Kong, Rajat Sen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7025-7065

在差分隐私优化中超越均匀Lipschitz条件

Rudrajit Das, Satyen Kale, Zheng Xu, Tong Zhang, Sujay Sanghavi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7066-7101

理解有标签噪声存在下的自蒸馏

Rudrajit Das, Sujay Sanghavi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7102-7140

用于少任务少样本学习的区间边界插值

Shounak Datta, Sankha Subhra Mullick, Anish Chakrabarty, Swagatam Das; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7141-7166

超体积知识梯度:用于部分信息的多目标贝叶斯优化的一种前瞻方法

Sam Daulton, Maximilian Balandat, Eytan Bakshy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7167-7204

用于最小-最大相关性聚类的快速组合算法

Sami Davies, Benjamin Moseley, Heather Newman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7205-7230

预测流用于加速Ford-Fulkerson

Sami Davies, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7231-7248

面向数据科学的持久拉普拉斯算子:评估数据的更高阶持久谱表示

Thomas Davies, Zhengchao Wan, Ruben J Sanchez-Garcia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7249-7263

通过保留-重采样-释放(R3)采样缓解物理信息神经网络中的传播失败

Arka Daw, Jie Bu, Sifan Wang, Paris Perdikaris, Anuj Karpatne; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7264-7302

随机集成对对抗性扰动的鲁棒性研究

Hassan Dbouk, Naresh Shanbhag; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7303-7328

预计算内存还是即时编码?检索增强的混合方法能最大限度地利用您的计算资源

Michiel De Jong, Yury Zemlyanskiy, Nicholas Fitzgerald, Joshua Ainslie, Sumit Sanghai, Fei Sha, William W. Cohen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7329-7342

连续时空Transformer

Antonio Henrique De Oliveira Fonseca, Emanuele Zappala, Josue Ortega Caro, David Van Dijk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7343-7365

分布外数据的价值

Ashwin De Silva, Rahul Ramesh, Carey Priebe, Pratik Chaudhari, Joshua T Vogelstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7366-7389

利用概率因果模型进行高保真图像反事实

Fabio De Sousa Ribeiro, Tian Xia, Miguel Monteiro, Nick Pawlowski, Ben Glocker; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7390-7425

使用最大乘积信念传播学习嘈杂或贝叶斯网络

Antoine Dedieu, Guangyao Zhou, Dileep George, Miguel Lazaro-Gredilla; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7426-7448

D-Adaptation实现无需学习率的学习

Aaron Defazio, Konstantin Mishchenko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7449-7479

将视觉Transformer扩展到220亿参数

Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd Van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7480-7512

通过Gram迭代实现卷积层的Lipschitz常数的有效界

Blaise Delattre, Quentin Barthélemy, Alexandre Araujo, Alexandre Allauzen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7513-7532

Blossom:一种随时可用的计算最优决策树的算法

Emir Demirović, Emmanuel Hebrard, Louis Jean; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7533-7562

通过拓扑交换优化NOTEARS目标

Chang Deng, Kevin Bello, Bryon Aragam, Pradeep Kumar Ravikumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7563-7595

基于Fisher信息量蒸馏的证据深度学习进行不确定性估计

Danruo Deng, Guangyong Chen, Yang Yu, Furui Liu, Pheng-Ann Heng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7596-7616

具有预算和投资回报率约束的多渠道自动竞价

Yuan Deng, Negin Golrezaei, Patrick Jaillet, Jason Cheuk Nam Liang, Vahab Mirrokni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7617-7644

代理模块学习:减少训练脉冲神经网络中的梯度误差累积

Shikuang Deng, Hao Lin, Yuhang Li, Shi Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7645-7657

置信度和离散度说话:用于无监督准确性估计的预测矩阵特征化

Weijian Deng, Yumin Suh, Stephen Gould, Liang Zheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7658-7674

优秀的模型思考方式一致:通过模型间潜在一致性提高模型可靠性

Ailin Deng, Miao Xiong, Bryan Hooi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7675-7693

双曲图像-文本表示

Karan Desai, Maximilian Nickel, Tanmay Rajpurohit, Justin Johnson, Shanmukha Ramakrishna Vedantam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7694-7731

硬件感知压缩与随机操作访问特定块(ROAST)哈希

Aditya Desai, Keren Zhou, Anshumali Shrivastava; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7732-7749

4位精度案例:k位推理缩放定律

Tim Dettmers, Luke Zettlemoyer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7750-7774

匹配中的公平性在不确定性下

Siddartha Devic, David Kempe, Vatsal Sharan, Aleksandra Korolova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7775-7794

神经网络函数空间距离的有效参数近似

Nikita Dhawan, Sicong Huang, Juhan Bae, Roger Baker Grosse; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7795-7812

大规模概率校准在神经网络回归中的研究

Victor Dheur, Souhaib Ben Taieb; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7813-7836

线性混合随机最短路径学习的近乎最小最大最优遗憾

Qiwei Di, Jiafan He, Dongruo Zhou, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7837-7864

关于消息传递神经网络中的过压缩问题:宽度、深度和拓扑的影响

Francesco Di Giovanni, Lorenzo Giusti, Federico Barbero, Giulia Luise, Pietro Lio, Michael M. Bronstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7865-7885

Nearly-Linear Time and Streaming Algorithms for Outlier-Robust PCA

Ilias Diakonikolas, Daniel Kane, Ankit Pensia, Thanasis Pittas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7886-7921

Near-Optimal Cryptographic Hardness of Agnostically Learning Halfspaces and ReLU Regression under Gaussian Marginals

Ilias Diakonikolas, Daniel Kane, Lisheng Ren; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7922-7938

Improving Graph Generation by Restricting Graph Bandwidth

Nathaniel Lee Diamant, Alex M Tseng, Kangway V. Chuang, Tommaso Biancalani, Gabriele Scalia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7939-7959

Forward-Backward Gaussian Variational Inference via JKO in the Bures-Wasserstein Space

Michael Ziyang Diao, Krishna Balasubramanian, Sinho Chewi, Adil Salim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7960-7991

Subset-Based Instance Optimality in Private Estimation

Travis Dick, Alex Kulesza, Ziteng Sun, Ananda Theertha Suresh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:7992-8014

Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models

Nikolaos Dimitriadis, Pascal Frossard, François Fleuret; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8015-8052

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models

Wenhao Ding, Tong Che, Ding Zhao, Marco Pavone; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8053-8066

DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm

Lisang Ding, Kexin Jin, Bicheng Ying, Kun Yuan, Wotao Yin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8067-8089

Open-Vocabulary Universal Image Segmentation with MaskCLIP

Zheng Ding, Jieke Wang, Zhuowen Tu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8090-8102

Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning

Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8103-8119

PixelAsParam: A Gradient View on Diffusion Sampling with Guidance

Anh-Dung Dinh, Daochang Liu, Chang Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8120-8137

Second-Order Optimization with Lazy Hessians

Nikita Doikov, El Mahdi Chayti, Martin Jaggi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8138-8161

Polynomial Preconditioning for Gradient Methods

Nikita Doikov, Anton Rodomanov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8162-8187

On Data Manifolds Entailed by Structural Causal Models

Ricardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8188-8201

Towards Understanding and Reducing Graph Structural Noise for GNNs

Mingze Dong, Yuval Kluger; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8202-8226

SpeedDETR: Speed-aware Transformers for End-to-end Object Detection

Peiyan Dong, Zhenglun Kong, Xin Meng, Peng Zhang, Hao Tang, Yanzhi Wang, Chih-Hsien Chou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8227-8243

Understand and Modularize Generator Optimization in ELECTRA-style Pretraining

Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8244-8259

Diversity-enhancing Generative Network for Few-shot Hypothesis Adaptation

Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8260-8275

PASTA: Pessimistic Assortment Optimization

Juncheng Dong, Weibin Mo, Zhengling Qi, Cong Shi, Ethan X Fang, Vahid Tarokh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8276-8295

Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift

Yijun Dong, Yuege Xie, Rachel Ward; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8296-8316

Does Sparsity Help in Learning Misspecified Linear Bandits?

Jialin Dong, Lin Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8317-8333

Symmetry-Aware Robot Design with Structured Subgroups

Heng Dong, Junyu Zhang, Tonghan Wang, Chongjie Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8334-8355

DoCoFL: Downlink Compression for Cross-Device Federated Learning

Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8356-8388

Meta-Learning the Inductive Bias of Simple Neural Circuits

Will Dorrell, Maria Yuffa, Peter E. Latham; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8389-8402

Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains

Vishwaraj Doshi, Jie Hu, Do Young Eun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8403-8423

Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains

Matthew Dowling, Yuan Zhao, Il Memming Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8424-8448

On the Convergence Rate of Gaussianization with Random Rotations

Felix Draxler, Lars Kühmichel, Armand Rousselot, Jens Müller, Christoph Schnoerr, Ullrich Koethe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8449-8468

PaLM-E: An Embodied Multimodal Language Model

Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8469-8488

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8489-8510

Multi-task Representation Learning for Pure Exploration in Linear Bandits

Yihan Du, Longbo Huang, Wen Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8511-8564

Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows

Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8565-8584

Subsample Ridge Ensembles: Equivalences and Generalized Cross-Validation

Jin-Hong Du, Pratik Patil, Arun K. Kuchibhotla; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8585-8631

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning

Chenzhuang Du, Jiaye Teng, Tingle Li, Yichen Liu, Tianyuan Yuan, Yue Wang, Yang Yuan, Hang Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8632-8656

Guiding Pretraining in Reinforcement Learning with Large Language Models

Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8657-8677

A Flexible Diffusion Model

Weitao Du, He Zhang, Tao Yang, Yuanqi Du; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8678-8696

Fast Excess Risk Rates via Offset Rademacher Complexity

Chenguang Duan, Yuling Jiao, Lican Kang, Xiliang Lu, Jerry Zhijian Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8697-8716

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Jinhao Duan, Fei Kong, Shiqi Wang, Xiaoshuang Shi, Kaidi Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8717-8730

Bayesian Progressive Deep Topic Model with Knowledge Informed Textual Data Coarsening Process

Zhibin Duan, Xinyang Liu, Yudi Su, Yishi Xu, Bo Chen, Mingyuan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8731-8746

Are Equivariant Equilibrium Approximators Beneficial?

Zhijian Duan, Yunxuan Ma, Xiaotie Deng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8747-8778

Evaluating Self-Supervised Learning via Risk Decomposition

Yann Dubois, Tatsunori Hashimoto, Percy Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8779-8820

Fully Dynamic Submodular Maximization over Matroids

Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8821-8835

Optimal No-Regret Learning for One-Sided Lipschitz Functions

Paul Duetting, Guru Guruganesh, Jon Schneider, Joshua Ruizhi Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8836-8850

Integrating Prior Knowledge in Contrastive Learning with Kernel

Benoit Dufumier, Carlo Alberto Barbano, Robin Louiset, Edouard Duchesnay, Pietro Gori; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8851-8878

Q-Flow: Generative Modeling for Differential Equations of Open Quantum Dynamics with Normalizing Flows

Owen M Dugan, Peter Y. Lu, Rumen Dangovski, Di Luo, Marin Soljacic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8879-8901

Adaptive Whitening in Neural Populations with Gain-modulating Interneurons

Lyndon Duong, David Lipshutz, David Heeger, Dmitri Chklovskii, Eero P Simoncelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8902-8921

Generalization Bounds using Data-Dependent Fractal Dimensions

Benjamin Dupuis, George Deligiannidis, Umut Simsekli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8922-8968

Multi-Objective Population Based Training

Arkadiy Dushatskiy, Alexander Chebykin, Tanja Alderliesten, Peter Bosman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8969-8989

Neural Diffusion Processes

Vincent Dutordoir, Alan Saul, Zoubin Ghahramani, Fergus Simpson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:8990-9012

FAENet: Frame Averaging Equivariant GNN for Materials Modeling

Alexandre Agm Duval, Victor Schmidt, Alex Hernández-Garcı́a, Santiago Miret, Fragkiskos D. Malliaros, Yoshua Bengio, David Rolnick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9013-9033

Blackout Diffusion: Generative Diffusion Models in Discrete-State Spaces

Javier E. Santos, Zachary R. Fox, Nicholas Lubbers, Yen Ting Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9034-9059

The Computational Complexity of Concise Hypersphere Classification

Eduard Eiben, Robert Ganian, Iyad A. Kanj, Sebastian Ordyniak, Stefan Szeider; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9060-9070

E$(n)$ Equivariant Message Passing Simplicial Networks

Floor Eijkelboom, Rob Hesselink, Erik J Bekkers; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9071-9081

Performative Recommendation: Diversifying Content via Strategic Incentives

Itay Eilat, Nir Rosenfeld; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9082-9103

Hyperparameters in Reinforcement Learning and How To Tune Them

Theresa Eimer, Marius Lindauer, Roberta Raileanu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9104-9149

Fairness in Streaming Submodular Maximization over a Matroid Constraint

Marwa El Halabi, Federico Fusco, Ashkan Norouzi-Fard, Jakab Tardos, Jakub Tarnawski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9150-9171

Difference of submodular minimization via DC programming

Marwa El Halabi, George Orfanides, Tim Hoheisel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9172-9201

Graph Positional Encoding via Random Feature Propagation

Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9202-9223

Improving Graph Neural Networks with Learnable Propagation Operators

Moshe Eliasof, Lars Ruthotto, Eran Treister; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9224-9245

Phase Transitions in the Detection of Correlated Databases

Dor Elimelech, Wasim Huleihel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9246-9266

A new near-linear time algorithm for k-nearest neighbor search using a compressed cover tree

Yury Elkin, Vitaliy Kurlin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9267-9311

Motion Question Answering via Modular Motion Programs

Mark Endo, Joy Hsu, Jiaman Li, Jiajun Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9312-9328

Learning Perturbations to Explain Time Series Predictions

Joseph Enguehard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9329-9342

Regret Minimization and Convergence to Equilibria in General-sum Markov Games

Liad Erez, Tal Lancewicki, Uri Sherman, Tomer Koren, Yishay Mansour; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9343-9373

Delayed Bandits: When Do Intermediate Observations Help?

Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk Van Der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9374-9395

Scaling Spherical CNNs

Carlos Esteves, Jean-Jacques Slotine, Ameesh Makadia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9396-9411

Stochastic Gradient Descent under Markovian Sampling Schemes

Mathieu Even; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9412-9439

Continual Learning in Linear Classification on Separable Data

Itay Evron, Edward Moroshko, Gon Buzaglo, Maroun Khriesh, Badea Marjieh, Nathan Srebro, Daniel Soudry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9440-9484

A Connection between One-Step RL and Critic Regularization in Reinforcement Learning

Benjamin Eysenbach, Matthieu Geist, Sergey Levine, Ruslan Salakhutdinov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9485-9507

Neural Status Registers

Lukas Faber, Roger Wattenhofer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9508-9522

Learning Rate Schedules in the Presence of Distribution Shift

Matthew Fahrbach, Adel Javanmard, Vahab Mirrokni, Pratik Worah; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9523-9546

Predicting Rare Events by Shrinking Towards Proportional Odds

Gregory Faletto, Jacob Bien; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9547-9602

Free-Form Variational Inference for Gaussian Process State-Space Models

Xuhui Fan, Edwin V. Bonilla, Terence O’Kane, Scott A Sisson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9603-9622

Optimizing DDPM Sampling with Shortcut Fine-Tuning

Ying Fan, Kangwook Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9623-9639

LSDS++ : Dual Sampling for Accelerated k-means++

Chenglin Fan, Ping Li, Xiaoyun Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9640-9649

Smart Initial Basis Selection for Linear Programs

Zhenan Fan, Xinglu Wang, Oleksandr Yakovenko, Abdullah Ali Sivas, Owen Ren, Yong Zhang, Zirui Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9650-9664

General Covariance Data Augmentation for Neural PDE Solvers

Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan Oseledets; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9665-9688

The Fast Johnson-Lindenstrauss Transform Is Even Faster

Ora Nova Fandina, Mikael Møller Høgsgaard, Kasper Green Larsen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9689-9715

Regression with Label Permutation in Generalized Linear Model

Guanhua Fang, Ping Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9716-9760

Robust Collaborative Learning with Linear Gradient Overhead

Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê-Nguyên Hoang, Rafael Pinot, John Stephan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9761-9813

Neural FIM for learning Fisher information metrics from point cloud data

Oluwadamilola Fasina, Guillaume Huguet, Alexander Tong, Yanlei Zhang, Guy Wolf, Maximilian Nickel, Ian Adelstein, Smita Krishnaswamy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9814-9826

Stochastic Policy Gradient Methods: Improved Sample Complexity for Fisher-non-degenerate Policies

Ilyas Fatkhullin, Anas Barakat, Anastasia Kireeva, Niao He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9827-9869

Parallel Neurosymbolic Integration with Concordia

Jonathan Feldstein, Modestas Jurčius, Efthymia Tsamoura; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9870-9885

Why Target Networks Stabilise Temporal Difference Methods

Mattie Fellows, Matthew J. A. Smith, Shimon Whiteson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9886-9909

Weighted Sampling without Replacement for Deep Top-$k$ Classification

Dieqiao Feng, Yuanqi Du, Carla P Gomes, Bart Selman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9910-9920

Improved Online Learning Algorithms for CTR Prediction in Ad Auctions

Zhe Feng, Christopher Liaw, Zixin Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9921-9937

Fractional Denoising for 3D Molecular Pre-training

Shikun Feng, Yuyan Ni, Yanyan Lan, Zhi-Ming Ma, Wei-Ying Ma; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9938-9961

Improved Algorithms for White-Box Adversarial Streams

Ying Feng, David Woodruff; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9962-9975

Non-stationary Reinforcement Learning under General Function Approximation

Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:9976-10007

Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption

Vasilii Feofanov, Malik Tiomoko, Aladin Virmaux; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10008-10033

SurCo: Learning Linear SURrogates for COmbinatorial Nonlinear Optimization Problems

Aaron M Ferber, Taoan Huang, Daochen Zha, Martin Schubert, Benoit Steiner, Bistra Dilkina, Yuandong Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10034-10052

Scaling Laws for Multilingual Neural Machine Translation

Patrick Fernandes, Behrooz Ghorbani, Xavier Garcia, Markus Freitag, Orhan Firat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10053-10071

Constant Matters: Fine-grained Error Bound on Differentially Private Continual Observation

Hendrik Fichtenberger, Monika Henzinger, Jalaj Upadhyay; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10072-10092

Adapting to game trees in zero-sum imperfect information games

Côme Fiegel, Pierre Menard, Tadashi Kozuno, Remi Munos, Vianney Perchet, Michal Valko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10093-10135

User-defined Event Sampling and Uncertainty Quantification in Diffusion Models for Physical Dynamical Systems

Marc Anton Finzi, Anudhyan Boral, Andrew Gordon Wilson, Fei Sha, Leonardo Zepeda-Nunez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10136-10152

ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging

Alessandro Fontanella, Antreas Antoniou, Wenwen Li, Joanna Wardlaw, Grant Mair, Emanuele Trucco, Amos Storkey; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10153-10169

Explainable Data-Driven Optimization: From Context to Decision and Back Again

Alexandre Forel, Axel Parmentier, Thibaut Vidal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10170-10187

马尔可夫博弈中独立学习和稀疏均衡计算的困难度

Dylan J Foster, Noah Golowich, Sham M. Kakade; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10188-10221

用于系统动力学鲁棒预测的解耦生成模型

Stathi Fotiadis, Mario Lino Valencia, Shunlong Hu, Stef Garasto, Chris D Cantwell, Anil Anthony Bharath; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10222-10248

前向梯度能匹配反向传播吗?

Louis Fournier, Stephane Rivaud, Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10249-10264

具有单调支付函数的 last switch dependent bandits

Ayoub Foussoul, Vineet Goyal, Orestis Papadigenopoulos, Assaf Zeevi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10265-10284

类别不平衡下的学习动力学的理论分析

Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10285-10322

SparseGPT: 大规模语言模型可以通过一次性剪枝进行精确剪枝

Elias Frantar, Dan Alistarh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10323-10337

无需在线实验即可学习时序抽象世界模型

Benjamin Freed, Siddarth Venkatraman, Guillaume Adrien Sartoretti, Jeff Schneider, Howie Choset; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10338-10356

耦合流方法用于模仿学习

Gideon Joseph Freund, Elad Sarafian, Sarit Kraus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10357-10372

用于序列建模的简单硬件高效长卷积

Daniel Y Fu, Elliot L Epstein, Eric Nguyen, Armin W Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Re; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10373-10391

MonoNeRF:在没有相机姿态的情况下从单目视频学习可泛化的NeRF

Yang Fu, Ishan Misra, Xiaolong Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10392-10404

超越想象:用世界模型最大化情节可达性

Yao Fu, Run Peng, Honglak Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10405-10420

将较小的语言模型专门化以进行多步推理

Yao Fu, Hao Peng, Litu Ou, Ashish Sabharwal, Tushar Khot; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10421-10430

准凸性下的加速随机优化方法

Qiang Fu, Dongchu Xu, Ashia Camage Wilson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10431-10460

元学习参数化技能

Haotian Fu, Shangqun Yu, Saket Tiwari, Michael Littman, George Konidaris; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10461-10481

NeRFool:揭示可泛化神经辐射场在对抗性扰动下的脆弱性

Yonggan Fu, Ye Yuan, Souvik Kundu, Shang Wu, Shunyao Zhang, Yingyan Celine Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10482-10493

奖励机的层级结构

Daniel Furelos-Blanco, Mark Law, Anders Jonsson, Krysia Broda, Alessandra Russo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10494-10541

为什么随机剪枝是开始稀疏化的全部所需

Advait Harshal Gadhikar, Sohom Mukherjee, Rebekka Burkholz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10542-10570

无单元格的潜在 Go-Explore

Quentin Gallouédec, Emmanuel Dellandrea; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10571-10586

图强化学习用于通过双层优化进行网络控制

Daniele Gammelli, James Harrison, Kaidi Yang, Marco Pavone, Filipe Rodrigues, Francisco C. Pereira; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10587-10610

为什么公开预训练对于私有模型训练是必需的?

Arun Ganesh, Mahdi Haghifam, Milad Nasr, Sewoong Oh, Thomas Steinke, Om Thakkar, Abhradeep Guha Thakurta, Lun Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10611-10627

感知对齐梯度是否意味着鲁棒性?

Roy Ganz, Bahjat Kawar, Michael Elad; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10628-10648

使用快速在线学习算法求解线性规划

Wenzhi Gao, Dongdong Ge, Chunlin Sun, Yinyu Ye; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10649-10675

梯度下降找到了两层物理信息神经网络的全局最优解

Yihang Gao, Yiqi Gu, Michael Ng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10676-10707

泛化神经波动函数

Nicholas Gao, Stephan Günnemann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10708-10726

算法反事实信息对社会隔离的影响

Ruijiang Gao, Himabindu Lakkaraju; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10727-10743

DDGR:具有深度扩散生成回放的持续学习

Rui Gao, Weiwei Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10744-10763

PAL:程序辅助语言模型

Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10764-10799

通过有针对性的增强实现分布外泛化

Irena Gao, Shiori Sagawa, Pang Wei Koh, Tatsunori Hashimoto, Percy Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10800-10834

奖励模型过优化的缩放定律

Leo Gao, John Schulman, Jacob Hilton; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10835-10866

少样本学习对于机器翻译的非凡有效性

Xavier Garcia, Yamini Bansal, Colin Cherry, George Foster, Maxim Krikun, Melvin Johnson, Orhan Firat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10867-10878

RLSbench:在宽松标签偏移下进行领域自适应

Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10879-10928

RankMe:通过排名评估预训练自监督表示的下游性能

Quentin Garrido, Randall Balestriero, Laurent Najman, Yann Lecun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10929-10974

自监督学习分裂不变等变表示

Quentin Garrido, Laurent Najman, Yann Lecun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10975-10996

联邦学习下的稀疏重口味恢复(线性草图)

Adria Gascon, Peter Kairouz, Ziteng Sun, Ananda Theertha Suresh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10997-11012

两层神经网络参数化的 Fitted Q-Iteration 的全局收敛性

Mudit Gaur, Vaneet Aggarwal, Mridul Agarwal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11013-11049

动态中介分析的强化学习框架

Lin Ge, Jitao Wang, Chengchun Shi, Zhenke Wu, Rui Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11050-11097

用于基于模拟的推理的组合分数模型

Tomas Geffner, George Papamakarios, Andriy Mnih; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11098-11116

Cramming:一天内在一台 GPU 上训练语言模型

Jonas Geiping, Tom Goldstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11117-11143

Transformer 与有向图的相遇

Simon Geisler, Yujia Li, Daniel J Mankowitz, Ali Taylan Cemgil, Stephan Günnemann, Cosmin Paduraru; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11144-11172

非平稳分布下的记忆型元学习

Tim Genewein, Gregoire Deletang, Anian Ruoss, Li Kevin Wenliang, Elliot Catt, Vincent Dutordoir, Jordi Grau-Moya, Laurent Orseau, Marcus Hutter, Joel Veness; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11173-11195

走向可靠的神经规范

Chuqin Geng, Nham Le, Xiaojie Xu, Zhaoyue Wang, Arie Gurfinkel, Xujie Si; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11196-11212

Oracle & Follower:深度多智能体强化学习中的 Stackelberg 博弈

Matthias Gerstgrasser, David C. Parkes; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11213-11236

张量分解的近似最优核形状

Mehrdad Ghadiri, Matthew Fahrbach, Gang Fu, Vahab Mirrokni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11237-11254

GAT:具有帕累托最优辅助任务的引导对抗训练

Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11255-11282

用户级私有凸优化

Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11283-11299

情境可靠性:不同特征在不同情境下为何重要

Gaurav Rohit Ghosal, Amrith Setlur, Daniel S. Brown, Anca Dragan, Aditi Raghunathan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11300-11320

通过潜在意图从被动数据中进行强化学习

Dibya Ghosh, Chethan Anand Bhateja, Sergey Levine; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11321-11339

谐波神经网络

Atiyo Ghosh, Antonio Andrea Gentile, Mario Dagrada, Chul Lee, Seong-Hyok Sean Kim, Hyukgeun Cha, Yunjun Choi, Dongho Kim, Jeong-Il Kye, Vincent Emanuel Elfving; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11340-11359

通过“路线-解释-重复”将黑盒模型分解为可解释模型组合

Shantanu Ghosh, Ke Yu, Forough Arabshahi, Kayhan Batmanghelich; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11360-11397

循环 Transformer 作为可编程计算机

Angeliki Giannou, Shashank Rajput, Jy-Yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris Papailiopoulos; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11398-11442

针对可配置公平性解决方案的广义差异影响

Luca Giuliani, Eleonora Misino, Michele Lombardi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11443-11458

多校准作为回归的提升

Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11459-11492

摊销贝叶斯推理的对抗鲁棒性

Manuel Gloeckler, Michael Deistler, Jakob H. Macke; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11493-11524

通过解耦环境和智能体表示实现高效强化学习

Kevin Gmelin, Shikhar Bahl, Russell Mendonca, Deepak Pathak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11525-11545

通过 $f$-散度最小化使语言模型与偏好对齐

Dongyoung Go, Tomasz Korbak, Germàn Kruszewski, Jos Rozen, Nahyeon Ryu, Marc Dymetman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11546-11583

排名数据分析中的鲁棒共识:定义、性质和计算问题

Morgane Goibert, Clément Calauzènes, Ekhine Irurozki, Stephan Clémençon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11584-11597

量子测量结果的分布学习

Weiyuan Gong, Scott Aaronson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11598-11613

超出单调性的近邻点法和外梯度法收敛:负共单调性案例

Eduard Gorbunov, Adrien Taylor, Samuel Horváth, Gauthier Gidel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11614-11641

自适应退火重要性采样,具有恒定速率进展

Shirin Goshtasbpour, Victor Cohen, Fernando Perez-Cruz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11642-11658

形式化运行时分布的偏好

Devon R. Graham, Kevin Leyton-Brown, Tim Roughgarden; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11659-11682

拓扑点云聚类

Vincent Peter Grande, Michael T Schaub; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11683-11697

使用近似传输图进行采样

Louis Grenioux, Alain Oliviero Durmus, Eric Moulines, Marylou Gabrié; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11698-11733

ReLU网络的隐藏对称性

Elisenda Grigsby, Kathryn Lindsey, David Rolnick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11734-11760

EF21-P 及其他:具有双向压缩的分布式优化改进理论通信复杂性

Kaja Gruntkowska, Alexander Tyurin, Peter Richtárik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11761-11807

NerfDiff:使用 NeRF 引导蒸馏从 3D 感知扩散进行单图像视图合成

Jiatao Gu, Alex Trevithick, Kai-En Lin, Joshua M. Susskind, Christian Theobalt, Lingjie Liu, Ravi Ramamoorthi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11808-11826

DecompDiff:用于基于结构的药物设计的具有分解先验的扩散模型

Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11827-11846

具有 Orlicz-Wasserstein 距离的混合高斯模型的过量质量行为

Aritra Guha, Nhat Ho, Xuanlong Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11847-11870

稀疏广义线性模型的保形化

Etash Kumar Guha, Eugene Ndiaye, Xiaoming Huo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11871-11887

通过数值机制设计实现联邦学习的隐私感知压缩

Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Michael Rabbat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11888-11904

通过隐式不变关系实现联邦学习的分布外泛化

Yaming Guo, Kai Guo, Xiaofeng Cao, Tieru Wu, Yi Chang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11905-11933

FeDXL:深度 X-Risk 优化可证明的联邦学习

Zhishuai Guo, Rong Jin, Jiebo Luo, Tianbao Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11934-11966

低秩 POMDP 中的可处理规划的可证明高效表示学习

Jiacheng Guo, Zihao Li, Huazheng Wang, Mengdi Wang, Zhuoran Yang, Xuezhou Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11967-11997

通过多假设检验分析机器学习中的隐私泄露:来自 Fano 的教训

Chuan Guo, Alexandre Sablayrolles, Maziar Sanjabi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:11998-12011

通过关系蒸馏进行无链接链接预测

Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V Chawla, Neil Shah, Tong Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12012-12033

FedBR:通过局部学习偏差降低在异构数据上的联邦学习

Yongxin Guo, Xiaoying Tang, Tao Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12034-12054

用于数据高效分子性质预测的分层语法诱导几何

Minghao Guo, Veronika Thost, Samuel W Song, Adithya Balachandran, Payel Das, Jie Chen, Wojciech Matusik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12055-12076

具有可学习和最优多项式基的图神经网络

Yuhe Guo, Zhewei Wei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12077-12097

LongCoder:用于代码补全的长距离预训练语言模型

Daya Guo, Canwen Xu, Nan Duan, Jian Yin, Julian Mcauley; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12098-12107

通过互信息界和学习算法估计异质处理效应

Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12108-12121

识别异质标签空间的有用学习材料

Lan-Zhe Guo, Zhi Zhou, Yu-Feng Li, Zhi-Hua Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12122-12131

高维位置估计通过范数集中于次高斯向量

Shivam Gupta, Jasper C.H. Lee, Eric Price; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12132-12164

GRAFENNE:在具有异构和动态特征集的图上学习

Shubham Gupta, Sahil Manchanda, Sayan Ranu, Srikanta J. Bedathur; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12165-12181

在线 Platt 缩放与 Calibeating

Chirag Gupta, Aaditya Ramdas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12182-12204

通过诱导神经元创建和移除的多任务结构学习局部任务相似性

Naresh Kumar Gurulingan, Bahram Zonooz, Elahe Arani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12205-12223

条件强对数凹生成模型

Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12224-12251

DRew:具有延迟的动态重连消息传递

Benjamin Gutteridge, Xiaowen Dong, Michael M. Bronstein, Francesco Di Giovanni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12252-12267

核逻辑回归近似一个可理解的 ReLU 神经网络

Marie Guyomard, Susana Barbosa, Lionel Fillatre; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12268-12291

图神经网络的保形预测集

Soroush H. Zargarbashi, Simone Antonelli, Aleksandar Bojchevski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12292-12318

通过深度强化学习搜索最优启发式方法自发产生社会学习

Seungwoong Ha, Hawoong Jeong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12319-12338

ReLU层、球上的内射性和局部重构的凸几何

Daniel Haider, Martin Ehler, Peter Balazs; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12339-12350

具有概率保证的神经网络鲁棒反事实解释

Faisal Hamman, Erfaun Noorani, Saumitra Mishra, Daniele Magazzeni, Sanghamitra Dutta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12351-12367

用于长尾视觉识别的环形柯西分布角 Softmax

Boran Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12368-12388

知识蒸馏对模型可解释性的影响

Hyeongrok Han, Siwon Kim, Hyun-Soo Choi, Sungroh Yoon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12389-12410

交替优化的图神经网络

Haoyu Han, Xiaorui Liu, Haitao Mao, Mohamadali Torkamani, Feng Shi, Victor Lee, Jiliang Tang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12411-12429

神经系统辨识:如果我们做对了,我们会知道吗?

Yena Han, Tomaso A Poggio, Brian Cheung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12430-12444

全变分图神经网络

Jonas Berg Hansen, Filippo Maria Bianchi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12445-12468

能够遵守守恒定律的物理模型学习

Derek Hansen, Danielle C. Maddix, Shima Alizadeh, Gaurav Gupta, Michael W. Mahoney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:12469-12510

关于预训练的视觉-运动控制:回顾从零开始学习基线

Nicklas Hansen, Yuan Zhecheng, Yanjie Ze, Tongzhou Mu, Aravind Rajeswaran, Su Hao, Xu Huazhe, Wang Xiaolong; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12511-12526

利用演示数据改进在线学习:质量至关重要

Botao Hao, Rahul Jain, Tor Lattimore, Benjamin Van Roy, Zheng Wen; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12527-12545

耦合变分自编码器

Xiaoran Hao, Patrick Shafto; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12546-12555

GNOT: 运算符学习的通用神经运算符 Transformer

Zhongkai Hao, Zhengyi Wang, Hang Su, Chengyang Ying, Yinpeng Dong, Songming Liu, Ze Cheng, Jian Song, Jun Zhu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12556-12569

机器学习中的算法集体行动

Moritz Hardt, Eric Mazumdar, Celestine Mendler-Dünner, Tijana Zrnic; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12570-12586

具有常系数线性偏微分方程组的高斯过程先验

Marc Harkonen, Markus Lange-Hegermann, Bogdan Raita; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12587-12615

具有应用于时间序列预测的学习集成策略的理论保证

Hilaf Hasson, Danielle C. Maddix, Bernie Wang, Gaurav Gupta, Youngsuk Park; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12616-12632

全局上下文视觉 Transformer

Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12633-12646

动态潜在状态模型中的反事实分析

Martin B Haugh, Raghav Singal; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12647-12677

基于采样的 Nyström 近似和核正交

Satoshi Hayakawa, Harald Oberhauser, Terry Lyons; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12678-12699

残差网络中的宽度和深度限制通勤

Soufiane Hayou, Greg Yang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12700-12723

ViT/MLP-Mixer 到图的泛化

Xiaoxin He, Bryan Hooi, Thomas Laurent, Adam Perold, Yann Lecun, Xavier Bresson; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12724-12745

特征和标签移位下的时间序列域自适应

Huan He, Owen Queen, Teddy Koker, Consuelo Cuevas, Theodoros Tsiligkaridis, Marinka Zitnik; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12746-12774

对比学习与同质性:一石二鸟

Dongxiao He, Jitao Zhao, Rui Guo, Zhiyong Feng, Di Jin, Yuxiao Huang, Zhen Wang, Weixiong Zhang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12775-12789

线性马尔可夫决策过程的近似最优强化学习

Jiafan He, Heyang Zhao, Dongruo Zhou, Quanquan Gu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12790-12822

CRISP:基于课程的顺序神经网络解码器用于极性码家族

S Ashwin Hebbar, Viraj Vivek Nadkarni, Ashok Vardhan Makkuva, Suma Bhat, Sewoong Oh, Pramod Viswanath; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12823-12845

Sketch-Flip-Merge:可合并草图用于私有计数

Jonathan Hehir, Daniel Ting, Graham Cormode; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12846-12865

功能神经网络:用于具有脑电图分类应用的功能数据的移位不变模型

Florian Heinrichs, Mavin Heim, Corinna Weber; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12866-12881

距离加权监督学习用于离线交互数据

Joey Hejna, Jensen Gao, Dorsa Sadigh; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12882-12906

用于偏微分方程的群等变傅里叶神经算子

Jacob Helwig, Xuan Zhang, Cong Fu, Jerry Kurtin, Stephan Wojtowytsch, Shuiwang Ji; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12907-12930

具有初始化鲁棒性保证的训练免费神经主动学习

Apivich Hemachandra, Zhongxiang Dai, Jasraj Singh, See-Kiong Ng, Bryan Kian Hsiang Low; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12931-12971

用于上下文 MDP 中探索的全局和情节奖励的研究

Mikael Henaff, Minqi Jiang, Roberta Raileanu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:12972-12999

多分辨率哈希编码的鲁棒相机位姿精炼

Hwan Heo, Taekyung Kim, Jiyoung Lee, Jaewon Lee, Soohyun Kim, Hyunwoo J. Kim, Jin-Hwa Kim; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13000-13016

用于学习混沌动力学的广义教师强制

Florian Hess, Zahra Monfared, Manuel Brenner, Daniel Durstewitz; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13017-13049

来自治疗-结果序列的因果模型干预

Çağlar Hızlı, S. T. John, Anne Tuulikki Juuti, Tuure Tapani Saarinen, Kirsi Hannele Pietiläinen, Pekka Marttinen; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13050-13084

高斯过程中的单调性和双下降在不确定性估计中的应用

Liam Hodgkinson, Chris Van Der Heide, Fred Roosta, Michael W. Mahoney; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13085-13117

AdaBoost 不是一个优秀的弱到强学习器

Mikael Møller Høgsgaard, Kasper Green Larsen, Martin Ritzert; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13118-13140

对偶传播:用二元神经元加速对比赫布学习

Rasmus Høier, D. Staudt, Christopher Zach; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13141-13156

来自奖励反馈的多任务离线策略学习

Joey Hong, Branislav Kveton, Manzil Zaheer, Sumeet Katariya, Mohammad Ghavamzadeh; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13157-13173

通过精确增广拉格朗日和随机迭代草图进行约束优化

Ilgee Hong, Sen Na, Michael W. Mahoney, Mladen Kolar; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13174-13198

用受毒的教师进行无数据知识蒸馏的回顾

Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13199-13212

simple diffusion:端到端扩散用于高分辨率图像

Emiel Hoogeboom, Jonathan Heek, Tim Salimans; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13213-13232

因果策略分类:两个偏移的故事

Guy Horowitz, Nir Rosenfeld; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13233-13253

通过感知群体的公平准确决策

Ramtin Hosseini, Li Zhang, Bhanu Garg, Pengtao Xie; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13254-13269

公平区间聚类的近似算法

Sedjro Salomon Hotegni, Sepideh Mahabadi, Ali Vakilian; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13270-13284

解码语言 Transformer 的层显著性

Elizabeth Mary Hou, Gregory David Castanon; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13285-13308

PromptBoosting:具有十次前向传播的黑盒文本分类

Bairu Hou, Joe O’Connor, Jacob Andreas, Shiyu Chang, Yang Zhang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13309-13324

RKHS 中的稀疏学习动力学系统:一种算子理论方法

Boya Hou, Sina Sanjari, Nathan Dahlin, Subhonmesh Bose, Umesh Vaidya; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13325-13352

可能随时安全的随机组合半赌徒

Yunlong Hou, Vincent Y. F. Tan, Zixin Zhong; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13353-13409

通过不变性约束学习自动数据增强

Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13410-13433

具有扩散生成先验的 Thompson 采样

Yu-Guan Hsieh, Shiva Kasiviswanathan, Branislav Kveton, Patrick Blöbaum; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13434-13468

ProxSkip 的更紧密分析

Zhengmian Hu, Heng Huang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13469-13496

约束优化的全能预测器

Lunjia Hu, Inbal Rachel Livni Navon, Omer Reingold, Chutong Yang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13497-13527

GFlowNet-EM 用于学习组合潜在变量模型

Edward J Hu, Nikolay Malkin, Moksh Jain, Katie E Everett, Alexandros Graikos, Yoshua Bengio; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13528-13549

用于多块双层优化的块状随机方差缩减方法和并行加速

Quanqi Hu, Zi-Hao Qiu, Zhishuai Guo, Lijun Zhang, Tianbao Yang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13550-13583

语言引导的强化学习用于人机协作

Hengyuan Hu, Dorsa Sadigh; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13584-13598

用于单图像物体形状重建的表面捕捉优化层

Yuan-Ting Hu, Alex Schwing, Raymond A. Yeh; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13599-13609

从 API 中学习学习:黑盒无数据元学习

Zixuan Hu, Li Shen, Zhenyi Wang, Baoyuan Wu, Chun Yuan, Dacheng Tao; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13610-13627

对于预训练的视觉模型在运动控制中的应用,并非所有策略学习方法都一样

Yingdong Hu, Renhao Wang, Li Erran Li, Yang Gao; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13628-13651

超越 Lipschitz 光滑性:对非凸优化的更紧密分析

Zhengmian Hu, Xidong Wu, Heng Huang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13652-13678

理解对抗鲁棒性对准确性差异的影响

Yuzheng Hu, Fan Wu, Hongyang Zhang, Han Zhao; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13679-13709

具有密度特征的低秩 MDP 中的强化学习

Audrey Huang, Jinglin Chen, Nan Jiang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13710-13752

Composer:具有可组合条件的创作和可控图像合成

Lianghua Huang, Di Chen, Yu Liu, Yujun Shen, Deli Zhao, Jingren Zhou; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13753-13773

模型感知对比学习:走向逃离困境

Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13774-13790

高维聚类到哈密顿回路

Tianyi Huang, Shenghui Cheng, Stan Z. Li, Zhengjun Zhang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13791-13813

银行家在线镜像下降:延迟在线奖励学习的通用方法

Jiatai Huang, Yan Dai, Longbo Huang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13814-13844

带异常值的分布式 k-聚类的快速算法

Junyu Huang, Qilong Feng, Ziyun Huang, Jinhui Xu, Jianxin Wang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13845-13868

使用对比学习搜索整数线性规划的大邻域

Taoan Huang, Aaron M Ferber, Yuandong Tian, Bistra Dilkina, Benoit Steiner; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13869-13890

低维欧几里得空间聚类的核集

Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13891-13915

Make-An-Audio:具有提示增强扩散模型的文本到音频生成

Rongjie Huang, Jiawei Huang, Dongchao Yang, Yi Ren, Luping Liu, Mingze Li, Zhenhui Ye, Jinglin Liu, Xiang Yin, Zhou Zhao; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13916-13932

均匀采样对于 k-Median 的作用

Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13933-13956

用于多模态轨迹优化的参数化策略学习

Zhiao Huang, Litian Liang, Zhan Ling, Xuanlin Li, Chuang Gan, Hao Su; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13957-13975

来自低秩半定规划的关于网络社区谱的理论界限

Yufan Huang, C. Seshadhri, David F. Gleich; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13976-13992

NeuralStagger:通过时空分解加速物理约束的神经 PDE 求解器

Xinquan Huang, Wenlei Shi, Qi Meng, Yue Wang, Xiaotian Gao, Jia Zhang, Tie-Yan Liu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:13993-14006

策略对比模仿学习

Jialei Huang, Zhao-Heng Yin, Yingdong Hu, Yang Gao; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14007-14022

对于 ConvNets,大型核是否比 Transformer 更好?

Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14023-14038

在非独立同分布的联邦双层学习中实现线性加速

Minhui Huang, Dewei Zhang, Kaiyi Ji; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14039-14059

具有用户级差分隐私的联邦线性上下文奖励

Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14060-14095

直线估计器:克服向量量化网络中的优化挑战

Minyoung Huh, Brian Cheung, Pulkit Agrawal, Phillip Isola; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14096-14113

用熵减去你的损失

Like Hui, Mikhail Belkin, Stephen Wright; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14114-14131

SOM-CPC:用于高速率时间序列结构化表示的无监督对比学习与自组织映射

Iris A.M. Huijben, Arthur Andreas Nijdam, Sebastiaan Overeem, Merel M Van Gilst, Ruud Van Sloun; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14132-14152

单次联邦共形预测

Pierre Humbert, Batiste Le Bars, Aurélien Bellet, Sylvain Arlot; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14153-14177

探索对多智能体 Q-Learning 动力学收敛性和性能的影响

Aamal Hussain, Francesco Belardinelli, Dario Paccagnan; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14178-14202

组合神经赌徒

Taehyun Hwang, Kyuwook Chai, Min-Hwan Oh; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14203-14236

MAGANet:通过模拟群作用实现组合泛化

Geonho Hwang, Jaewoong Choi, Hyunsoo Cho, Myungjoo Kang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14237-14248

信息论状态空间模型用于多视图强化学习

Hyeongjoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14249-14282

具有神经属性纳入的欠计数张量补全

Shahana Ibrahim, Xiao Fu, Rebecca Hutchinson, Eugene Seo; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14283-14315

关于因果位置-尺度噪声模型的可识别性和估计

Alexander Immer, Christoph Schultheiss, Julia E Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14316-14332

使用神经切线核进行随机边际似然梯度

Alexander Immer, Tycho F. A. Van Der Ouderaa, Mark Van Der Wilk, Gunnar Ratsch, Bernhard Schölkopf; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14333-14352

具有可证明近似保证的差分隐私分层聚类

Jacob Imola, Alessandro Epasto, Mohammad Mahdian, Vincent Cohen-Addad, Vahab Mirrokni; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14353-14375

神经网络加速隐式滤波:集成神经网络代理与可证明收敛的无导数优化方法

Brian Irwin, Eldad Haber, Raviv Gal, Avi Ziv; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14376-14389

在丰富的外源信息存在下的原则性离线 RL

Riashat Islam, Manan Tomar, Alex Lamb, Yonathan Efroni, Hongyu Zang, Aniket Rajiv Didolkar, Dipendra Misra, Xin Li, Harm Van Seijen, Remi Tachet Des Combes, John Langford; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14390-14421

揭示推前生成模型的潜在空间几何

Thibaut Issenhuth, Ugo Tanielian, Jeremie Mary, David Picard; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14422-14444

CO-BED:通过贝叶斯实验设计的信学上下文优化

Desi R. Ivanova, Joel Jennings, Tom Rainforth, Cheng Zhang, Adam Foster; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14445-14464

DoG 是 SGD 的好朋友:一种无参数动态步长调度

Maor Ivgi, Oliver Hinder, Yair Carmon; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14465-14499

深度 ReLU 网络中的最大初始学习率

Gaurav Iyer, Boris Hanin, David Rolnick; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14500-14530

用于线性回归的数据驱动子群识别

Zachary Izzo, Ruishan Liu, James Zou; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14531-14552

使用少样本学习进行语言模型的高效训练

Sashank J. Reddi, Sobhan Miryoosefi, Stefani Karp, Shankar Krishnan, Satyen Kale, Seungyeon Kim, Sanjiv Kumar; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14553-14568

迭代生成器可扩展自适应计算

Allan Jabri, David J. Fleet, Ting Chen; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14569-14589

具有无界损失的无约束在线学习

Andrew Jacobsen, Ashok Cutkosky; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14590-14630

多目标 GFlowNets

Moksh Jain, Sharath Chandra Raparthy, Alex Hernández-Garcı́a, Jarrid Rector-Brooks, Yoshua Bengio, Santiago Miret, Emmanuel Bengio; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14631-14653

持续观察下的差分隐私价格

Palak Jain, Sofya Raskhodnikova, Satchit Sivakumar, Adam Smith; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14654-14678

图剥离:无中间通信的 GNN 训练的惊人简单并行

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14679-14690

即时汤:一次性修剪集成可以在大模型中提取彩票

Ajay Kumar Jaiswal, Shiwei Liu, Tianlong Chen, Ying Ding, Zhangyang Wang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14691-14701

探索在指令调整方面训练专家语言模型的优势

Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14702-14729

通过周期性近期权重预测来学习加速训练

Jinhyeok Jang, Woo-Han Yun, Won Hwa Kim, Youngwoo Yoon, Jaehong Kim, Jaeyeon Lee, Byungok Han; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14730-14757

无迹自编码器

Faris Janjos, Lars Rosenbaum, Maxim Dolgov, J. Marius Zoellner; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14758-14779

好奇心回顾:随机环境中的内在探索

Daniel Jarrett, Corentin Tallec, Florent Altché, Thomas Mesnard, Remi Munos, Michal Valko; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14780-14816

BiRT:用于持续学习的基于生物学的视觉 Transformer 回放

Kishaan Jeeveswaran, Prashant Shivaram Bhat, Bahram Zonooz, Elahe Arani; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14817-14835

在多项选择众包中恢复前两个答案和混淆概率

Hyeonsu Jeong, Hye Won Chung; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14836-14868

利用图神经网络中的标签非均匀性进行节点分类

Feng Ji, See Hian Lee, Hanyang Meng, Kai Zhao, Jielong Yang, Wee Peng Tay; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14869-14885

面向数据分布不一致的鲁棒半监督学习的双向自适应

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou, Jie-Jing Shao, Yuke Xiang, Yu-Feng Li; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14886-14901

短时高产量赌徒

Su Jia, Nishant Oli, Ian Anderson, Paul Duff, Andrew A Li, R. Ravi; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14902-14929

平滑非平稳赌徒

Su Jia, Qian Xie, Nathan Kallus, Peter I. Frazier; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14930-14944

通过组合优化学习非归一化统计模型

Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14945-14974

VIMA:通过多模态提示进行机器人操作

Yunfan Jiang, Agrim Gupta, Zichen Zhang, Guanzhi Wang, Yongqiang Dou, Yanjun Chen, Li Fei-Fei, Anima Anandkumar, Yuke Zhu, Linxi Fan; proceedings of the 40th International Conference on Machine Learning, PMLR 202:14975-15022

使用多任务深度集成估计因果效应

Ziyang Jiang, Zhuoran Hou, Yiling Liu, Yiman Ren, Keyu Li, David Carlson; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15023-15040

具有未观测状态的在线不平静赌徒

Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang, Chenghu Zhou; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15041-15066

通过内分布类先验检测外分布数据

Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15067-15088

面向 $l_1$ 范数约束的对抗攻击,实现稳定高效的对抗训练

Yulun Jiang, Chen Liu, Zhichao Huang, Mathieu Salzmann, Sabine Susstrunk; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15089-15104

通过组合优化学习非归一化统计模型

Wei Jiang, Jiayu Qin, Lingyu Wu, Changyou Chen, Tianbao Yang, Lijun Zhang; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15105-15124

近似弱混淆下的因果效应识别

Ziwei Jiang, Lai Wei, Murat Kocaoglu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15125-15143

MEWL:具有参照不确定性的少样本多模态词学习

Guangyuan Jiang, Manjie Xu, Shiji Xin, Wei Liang, Yujia Peng, Chi Zhang, Yixin Zhu; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15144-15169

NeuralSlice:通过切割 4D 四面体网格实现神经 3D 三角形网格重建

Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15170-15185

通过元学习和代表性言语器实现有效的结构化提示

Weisen Jiang, Yu Zhang, James Kwok; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15186-15199

理解梯度下降的增量学习:对矩阵传感的细粒度分析

Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee; proceedings of the 40th International Conference on Machine Learning, PMLR 202:15200-15238

Thompson 采样,较少的探索速度更快且最优

金天元, 杨翔麟, 肖晓奎, 徐盼; 第40届国际机器学习会议论文集, PMLR 202:15239-15261

R-U-SURE?通过最大化随机用户意图的效用来感知不确定性的代码建议

Daniel D. Johnson, Daniel Tarlow, Christian Walder; 第40届国际机器学习会议论文集, PMLR 202:15262-15306

通过离散优化自动审计大型语言模型

Erik Jones, Anca Dragan, Aditi Raghunathan, Jacob Steinhardt; 第40届国际机器学习会议论文集, PMLR 202:15307-15329

论几何图神经网络的表达能力

Chaitanya K. Joshi, Cristian Bodnar, Simon V Mathis, Taco Cohen, Pietro Lio; 第40届国际机器学习会议论文集, PMLR 202:15330-15355

数据高效的对比式自监督学习:对监督学习最有益的例子贡献最少

Siddharth Joshi, Baharan Mirzasoleiman; 第40届国际机器学习会议论文集, PMLR 202:15356-15370

用于组合泛化的鲁棒子任务学习

Kishor Jothimurugan, Steve Hsu, Osbert Bastani, Rajeev Alur; 第40届国际机器学习会议论文集, PMLR 202:15371-15387

关于均值场与批归一化下有限宽度深度随机多层感知机的表示能力之间的桥梁

Amir Joudaki, Hadi Daneshmand, Francis Bach; 第40届国际机器学习会议论文集, PMLR 202:15388-15400

FARE: 具有实际证书的可证明公平表示学习

Nikola Jovanović, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev; 第40届国际机器学习会议论文集, PMLR 202:15401-15420

类类损失的缩放以进行事后校准

Seungjin Jung, Seungmo Seo, Yonghyun Jeong, Jongwon Choi; 第40届国际机器学习会议论文集, PMLR 202:15421-15434

用火攻火:通过生成式偏差转换进行对比式去偏差,无需无偏差数据

Yeonsung Jung, Hajin Shim, June Yong Yang, Eunho Yang; 第40届国际机器学习会议论文集, PMLR 202:15435-15450

通过组合多个实验来估计联合处理效应

Yonghan Jung, Jin Tian, Elias Bareinboim; 第40届国际机器学习会议论文集, PMLR 202:15451-15527

目录问题:聚类和排序可变大小的集合

Mateusz Maria Jurewicz, Graham W. Taylor, Leon Derczynski; 第40届国际机器学习会议论文集, PMLR 202:15528-15545

具有学习的规范化函数的等变性

Sékou-Oumar Kaba, Arnab Kumar Mondal, Yan Zhang, Yoshua Bengio, Siamak Ravanbakhsh; 第40届国际机器学习会议论文集, PMLR 202:15546-15566

分子优化方法的评估偏差和偏差降低策略

Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami; 第40届国际机器学习会议论文集, PMLR 202:15567-15585

学习算法的统计不可区分性

Alkis Kalavasis, Amin Karbasi, Shay Moran, Grigoris Velegkas; 第40届国际机器学习会议论文集, PMLR 202:15586-15622

识别图像表示中的可解释子空间

Neha Kalibhat, Shweta Bhardwaj, C. Bayan Bruss, Hamed Firooz, Maziar Sanjabi, Soheil Feizi; 第40届国际机器学习会议论文集, PMLR 202:15623-15638

具有潜在混淆的非线性因果发现

David Kaltenpoth, Jilles Vreeken; 第40届国际机器学习会议论文集, PMLR 202:15639-15654

通过蒙特卡洛树搜索的深度生成符号回归

Pierre-Alexandre Kamienny, Guillaume Lample, Sylvain Lamprier, Marco Virgolin; 第40届国际机器学习会议论文集, PMLR 202:15655-15668

一对多损失,以关注对抗训练中的重要样本

Sekitoshi Kanai, Shin’Ya Yamaguchi, Masanori Yamada, Hiroshi Takahashi, Kentaro Ohno, Yasutoshi Ida; 第40届国际机器学习会议论文集, PMLR 202:15669-15695

大型语言模型在学习长尾知识方面存在困难

Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, Colin Raffel; 第40届国际机器学习会议论文集, PMLR 202:15696-15707

Git-Theta:用于机器学习模型协作开发的 Git 扩展

Nikhil Kandpal, Brian Lester, Mohammed Muqeeth, Anisha Mascarenhas, Monty Evans, Vishal Baskaran, Tenghao Huang, Haokun Liu, Colin Raffel; 第40届国际机器学习会议论文集, PMLR 202:15708-15719

一种用于迭代求解线性系统的深度共轭方向法

Ayano Kaneda, Osman Akar, Jingyu Chen, Victoria Alicia Trevino Kala, David Hyde, Joseph Teran; 第40届国际机器学习会议论文集, PMLR 202:15720-15736

利用训练数据的代理进行测试时自适应

Juwon Kang, Nayeong Kim, Donghyeon Kwon, Jungseul Ok, Suha Kwak; 第40届国际机器学习会议论文集, PMLR 202:15737-15752

超越奖励:通过离线偏好引导策略优化

Yachen Kang, Diyuan Shi, Jinxin Liu, Li He, Donglin Wang; 第40届国际机器学习会议论文集, PMLR 202:15753-15768

通过生成式偏差转换进行对比式去偏差,无需无偏差数据

Siteng Kang, Zhan Shi, Xinhua Zhang; 第40届国际机器学习会议论文集, PMLR 202:15769-15785

图神经网络中的神经哈密顿轨道节点嵌入

Qiyu Kang, Kai Zhao, Yang Song, Sijie Wang, Wee Peng Tay; 第40届国际机器学习会议论文集, PMLR 202:15786-15808

理解深度学习中的梯度正则化:高效有限差分计算和隐式偏差

Ryo Karakida, Tomoumi Takase, Tomohiro Hayase, Kazuki Osawa; 第40届国际机器学习会议论文集, PMLR 202:15809-15827

具有对数通信的 Langevin Thompson 采样:强盗与强化学习

Amin Karbasi, Nikki Lijing Kuang, Yian Ma, Siddharth Mitra; 第40届国际机器学习会议论文集, PMLR 202:15828-15860

关于解释与预测之间的关系:因果视角

Amir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim; 第40届国际机器学习会议论文集, PMLR 202:15861-15883

鸡尾酒会攻击:使用独立成分分析破坏联邦学习中基于聚合的隐私

Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee; 第40届国际机器学习会议论文集, PMLR 202:15884-15899

通用顺序情景记忆模型

Arjun Karuvally, Terrence Sejnowski, Hava T Siegelmann; 第40届国际机器学习会议论文集, PMLR 202:15900-15910

带不完整观测的传感器数据回归

Takayuki Katsuki, Takayuki Osogami; 第40届国际机器学习会议论文集, PMLR 202:15911-15927

数据表示对潜在图像流形的研究

Ilya Kaufman, Omri Azencot; 第40届国际机器学习会议论文集, PMLR 202:15928-15945

多模态分类器用于开放词汇目标检测

Prannay Kaul, Weidi Xie, Andrew Zisserman; 第40届国际机器学习会议论文集, PMLR 202:15946-15969

马尔可夫链和MDP混合体的学习

Chinmaya Kausik, Kevin Tan, Ambuj Tewari; 第40届国际机器学习会议论文集, PMLR 202:15970-16017

用于模型自适应的的好奇心重放

Isaac Kauvar, Chris Doyle, Linqi Zhou, Nick Haber; 第40届国际机器学习会议论文集, PMLR 202:16018-16048

信息瓶颈如何帮助深度学习?

Kenji Kawaguchi, Zhun Deng, Xu Ji, Jiaoyang Huang; 第40届国际机器学习会议论文集, PMLR 202:16049-16096

平均偏因果效应的工具变量估计

Yuta Kawakami, Manabu Kuroki, Jin Tian; 第40届国际机器学习会议论文集, PMLR 202:16097-16130

检验的检验:差分隐私假设检验框架

Zeki Kazan, Kaiyan Shi, Adam Groce, Andrew P Bray; 第40届国际机器学习会议论文集, PMLR 202:16131-16151

高阶结构化预测中的精确推理

Chuyang Ke, Jean Honorio; 第40届国际机器学习会议论文集, PMLR 202:16152-16167

神经波机器:使用局部耦合振荡循环神经网络学习时空结构表示

T. Anderson Keller, Max Welling; 第40届国际机器学习会议论文集, PMLR 202:16168-16189

同态自编码器——从观察到的转移中学习组结构表示

Hamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F Grewe, Bernhard Schölkopf; 第40届国际机器学习会议论文集, PMLR 202:16190-16215

重新思考后门攻击

Alaa Khaddaj, Guillaume Leclerc, Aleksandar Makelov, Kristian Georgiev, Hadi Salman, Andrew Ilyas, Aleksander Madry; 第40届国际机器学习会议论文集, PMLR 202:16216-16236

代码大型语言模型的PAC预测集

Adam Khakhar, Stephen Mell, Osbert Bastani; 第40届国际机器学习会议论文集, PMLR 202:16237-16249

凸强凸鞍点问题的加速原对偶方法

Mohammad Khalafi, Digvijay Boob; 第40届国际机器学习会议论文集, PMLR 202:16250-16270

用于公平监督学习的损失平衡

Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan; 第40届国际机器学习会议论文集, PMLR 202:16271-16290

线性约束双层优化:一种平滑的隐式梯度方法

Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong; 第40届国际机器学习会议论文集, PMLR 202:16291-16325

高维生成模型保真度和多样性的精确度和召回率的涌现不对称性

Mahyar Khayatkhoei, Wael Abdalmageed; 第40届国际机器学习会议论文集, PMLR 202:16326-16343

用于多重分位数发布的学习增强差分隐私算法

Mikhail Khodak, Kareem Amin, Travis Dick, Sergei Vassilvitskii; 第40届国际机器学习会议论文集, PMLR 202:16344-16376

CrossSplit:通过数据分割减轻标签噪声记忆

Jihye Kim, Aristide Baratin, Yan Zhang, Simon Lacoste-Julien; 第40届国际机器学习会议论文集, PMLR 202:16377-16392

门控神经ODE的可训练性、表达力和可解释性

Timothy Doyeon Kim, Tankut Can, Kamesh Krishnamurthy; 第40届国际机器学习会议论文集, PMLR 202:16393-16423

SAAL:锐度感知主动学习

Yoon-Yeong Kim, Youngjae Cho, Joonho Jang, Byeonghu Na, Yeongmin Kim, Kyungwoo Song, Wanmo Kang, Il-Chul Moon; 第40届国际机器学习会议论文集, PMLR 202:16424-16440

无需演示的自主强化学习,通过隐式和双向课程

Jigang Kim, Daesol Cho, H. Jin Kim; 第40届国际机器学习会议论文集, PMLR 202:16441-16457

基于强盗反馈的多周期多类装箱问题的改进算法

Wonyoung Kim, Garud Iyengar, Assaf Zeevi; 第40届国际机器学习会议论文集, PMLR 202:16458-16501

通过两阶段动态规划进行延迟感知的CNN深度压缩

Jinuk Kim, Yeonwoo Jeong, Deokjae Lee, Hyun Oh Song; 第40届国际机器学习会议论文集, PMLR 202:16502-16520

概率概念瓶颈模型

Eunji Kim, Dahuin Jung, Sangha Park, Siwon Kim, Sungroh Yoon; 第40届国际机器学习会议论文集, PMLR 202:16521-16540

DevFormer:用于上下文感知设备放置的对称 Transformer

Haeyeon Kim, Minsu Kim, Federico Berto, Joungho Kim, Jinkyoo Park; 第40届国际机器学习会议论文集, PMLR 202:16541-16566

通过判别器引导来优化基于分数的扩散模型的生成过程

Dongjun Kim, Yeongmin Kim, Se Jung Kwon, Wanmo Kang, Il-Chul Moon; 第40届国际机器学习会议论文集, PMLR 202:16567-16598

通过功率受限的深度学习实现鲁棒的非线性反馈编码

Junghoon Kim, Taejoon Kim, David Love, Christopher Brinton; 第40届国际机器学习会议论文集, PMLR 202:16599-16618

LESSON:通过选项框架学习整合探索策略以进行强化学习

Woojun Kim, Jeonghye Kim, Youngchul Sung; 第40届国际机器学习会议论文集, PMLR 202:16619-16638

BPipe:用于训练大型语言模型的内存平衡流水线并行

Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun; 第40届国际机器学习会议论文集, PMLR 202:16639-16653

具有缺失数据的时序分类的概率插补

Seunghyun Kim, Hyunsu Kim, Eunggu Yun, Hwangrae Lee, Jaehun Lee, Juho Lee; 第40届国际机器学习会议论文集, PMLR 202:16654-16667

通过隐式和双向课程进行变分课程强化学习以进行技能的无监督发现

Seongun Kim, Kyowoon Lee, Jaesik Choi; 第40届国际机器学习会议论文集, PMLR 202:16668-16695

基于边距的神经网络水印

Byungjoo Kim, Suyoung Lee, Seanie Lee, Sooel Son, Sung Ju Hwang; 第40届国际机器学习会议论文集, PMLR 202:16696-16711

在混合对称性下正则化以实现软等变性

Hyunsu Kim, Hyungi Lee, Hongseok Yang, Juho Lee; 第40届国际机器学习会议论文集, PMLR 202:16712-16727

基于计数的保守性的模型离线强化学习

Byeongchan Kim, Min-Hwan Oh; 第40届国际机器学习会议论文集, PMLR 202:16728-16746

基于Transformer的阶段性分解,用于大规模多阶段随机优化

Chanyeong Kim, Jongwoong Park, Hyunglip Bae, Woo Chang Kim; 第40届国际机器学习会议论文集, PMLR 202:16747-16770

SurProGenes:癌症患者和基因的生存风险排序表示,用于预后基因的识别

Junetae Kim, Kyoungsuk Park, Hanseok Jeong, Youngwook Kim, Jeongseon Kim, Sun-Young Kim; 第40届国际机器学习会议论文集, PMLR 202:16771-16786

通过不变残差学习稳定且一致地预测3D特征方向

Seungwook Kim, Chunghyun Park, Yoonwoo Jeong, Jaesik Park, Minsu Cho; 第40届国际机器学习会议论文集, PMLR 202:16787-16806

通过辅助偏好学习改进文本分类器

Jaehyung Kim, Jinwoo Shin, Dongyeop Kang; 第40届国际机器学习会议论文集, PMLR 202:16807-16828

用于多智能体强化学习的自适应熵正则化框架

Woojun Kim, Youngchul Sung; 第40届国际机器学习会议论文集, PMLR 202:16829-16852

用于黑盒变分贝叶斯推断的实用且匹配的梯度方差界

Kyurae Kim, Kaiwen Wu, Jisu Oh, Jacob R. Gardner; 第40届国际机器学习会议论文集, PMLR 202:16853-16876

持续学习的可学习性和算法

Gyuhak Kim, Changnan Xiao, Tatsuya Konishi, Bing Liu; 第40届国际机器学习会议论文集, PMLR 202:16877-16896

统一的Nesterov加速梯度方法,用于凸函数和强凸函数目标函数

Jungbin Kim, Insoon Yang; 第40届国际机器学习会议论文集, PMLR 202:16897-16954

用于加速扩散模型生成的去噪MCMC

Beomsu Kim, Jong Chul Ye; 第40届国际机器学习会议论文集, PMLR 202:16955-16977

通过相关阈值图上的团搜索学习潜在因子的结构

Dale Kim, Qing Zhou; 第40届国际机器学习会议论文集, PMLR 202:16978-16996

用于策略学习的公平稳健的异质处理效应估计

Kwangho Kim, Jose R Zubizarreta; 第40届国际机器学习会议论文集, PMLR 202:16997-17014

离散生成模型的标准损失

Dhamma Kimpara, Rafael Frongillo, Bo Waggoner; 第40届国际机器学习会议论文集, PMLR 202:17015-17040

通过解码器网络的逆 Lipschitz 约束来控制后验崩溃

Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-Ichi Maeda; 第40届国际机器学习会议论文集, PMLR 202:17041-17060

大型语言模型的水印

John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein; 第40届国际机器学习会议论文集, PMLR 202:17061-17084

概率对比学习可恢复含糊输入的正确似然不确定性

Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh; 第40届国际机器学习会议论文集, PMLR 202:17085-17104

从相关数据中训练归一化流

Matthias Kirchler, Christoph Lippert, Marius Kloft; 第40届国际机器学习会议论文集, PMLR 202:17105-17121

IncDSI:增量可更新文档检索

Varsha Kishore, Chao Wan, Justin Lovelace, Yoav Artzi, Kilian Q Weinberger; 第40届国际机器学习会议论文集, PMLR 202:17122-17134

线性MDP中的正则化和方差加权回归达到最小最大最优值:理论与实践

Toshinori Kitamura, Tadashi Kozuno, Yunhao Tang, Nino Vieillard, Michal Valko, Wenhao Yang, Jincheng Mei, Pierre Menard, Mohammad Gheshlaghi Azar, Remi Munos, Olivier Pietquin, Matthieu Geist, Csaba Szepesvari, Wataru Kumagai, Yutaka Matsuo; 第40届国际机器学习会议论文集, PMLR 202:17135-17175

具有域感知函数先验分布的协变量偏移下的药物发现

Leo Klarner, Tim G. J. Rudner, Michael Reutlinger, Torsten Schindler, Garrett M Morris, Charlotte Deane, Yee Whye Teh; 第40届国际机器学习会议论文集, PMLR 202:17176-17197

用于时间扩展探索的深度拉普拉斯选项

Martin Klissarov, Marlos C. Machado; 第40届国际机器学习会议论文集, PMLR 202:17198-17217

通过低成本的通用约简方法使任何分层聚类公平且均衡

Marina Knittel, Max Springer, John P Dickerson, Mohammadtaghi Hajiaghayi; 第40届国际机器学习会议论文集, PMLR 202:17218-17242

我们能否将 Transformer 扩展到预测各种 ImageNet 模型的参数?

Boris Knyazev, Doha Hwang, Simon Lacoste-Julien; 第40届国际机器学习会议论文集, PMLR 202:17243-17259

具有反馈图的在线学习:遗憾的真实形状

Tomáš Kocák, Alexandra Carpentier; 第40届国际机器学习会议论文集, PMLR 202:17260-17282

将语言模型与图像相结合,用于多模态输入和输出

Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried; 第40届国际机器学习会议论文集, PMLR 202:17283-17300

刚体流用于采样分子晶体结构

Jonas Köhler, Michele Invernizzi, Pim De Haan, Frank Noe; 第40届国际机器学习会议论文集, PMLR 202:17301-17326

使市场中的均衡计算能够进行一阶梯度学习

Nils Kohring, Fabian Raoul Pieroth, Martin Bichler; 第40届国际机器学习会议论文集, PMLR 202:17327-17342

重新审视梯度裁剪:随机偏差和严格的收敛保证

Anastasia Koloskova, Hadrien Hendrikx, Sebastian U Stich; 第40届国际机器学习会议论文集, PMLR 202:17343-17363

关于计算最优树集成

Christian Komusiewicz, Pascal Kunz, Frank Sommer, Manuel Sorge; 第40届国际机器学习会议论文集, PMLR 202:17364-17374

GOAT:大型图的全局 Transformer

Kezhi Kong, Jiuhai Chen, John Kirchenbauer, Renkun Ni, C. Bayan Bruss, Tom Goldstein; 第40届国际机器学习会议论文集, PMLR 202:17375-17390

用于图生成的自回归扩散模型

Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang; 第40届国际机器学习会议论文集, PMLR 202:17391-17408

端到端全原子抗体设计

Xiangzhe Kong, Wenbing Huang, Yang Liu; 第40届国际机器学习会议论文集, PMLR 202:17409-17429

使用积分概率度量进行因果推断的协变量平衡

Insung Kong, Yuha Park, Joonhyuk Jung, Kwonsang Lee, Yongdai Kim; 第40届国际机器学习会议论文集, PMLR 202:17430-17461

掩码贝叶斯神经网络:理论保证及其后验推理

Insung Kong, Dongyoon Yang, Jongjin Lee, Ilsang Ohn, Gyuseung Baek, Yongdai Kim; 第40届国际机器学习会议论文集, PMLR 202:17462-17491

面向持续学习的参数级软掩码

Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu; 第40届国际机器学习会议论文集, PMLR 202:17492-17505

用人类偏好进行语言模型预训练

Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Vinayak Bhalerao, Christopher Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez; 第40届国际机器学习会议论文集, PMLR 202:17506-17533

检测深度强化学习中的对抗方向以做出鲁棒决策

Ezgi Korkmaz, Jonah Brown-Cohen; 第40届国际机器学习会议论文集, PMLR 202:17534-17543

用于分子图的基于Ewald的长距离消息传递

Arthur Kosmala, Johannes Gasteiger, Nicholas Gao, Stephan Günnemann; 第40届国际机器学习会议论文集, PMLR 202:17544-17563

TabDDPM:使用扩散模型对表格数据进行建模

Akim Kotelnikov, Dmitry Baranchuk, Ivan Rubachev, Artem Babenko; 第40届国际机器学习会议论文集, PMLR 202:17564-17579

用于图对比学习的随机 Schur 补集视图

Vignesh Kothapalli; 第40届国际机器学习会议论文集, PMLR 202:17580-17614

二层 ReLU 卷积神经网络中的良性过拟合

Yiwen Kou, Zixiang Chen, Yuanzhou Chen, Quanquan Gu; 第40届国际机器学习会议论文集, PMLR 202:17615-17659

用于学习函数分布的变分超生成器混合体

Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis, Pablo M. Olmos, Isabel Valera; 第40届国际机器学习会议论文集, PMLR 202:17660-17683

梯度下降单调减小标量网络及其他领域梯度流解的锐度

Itai Kreisler, Mor Shpigel Nacson, Daniel Soudry, Yair Carmon; 第40届国际机器学习会议论文集, PMLR 202:17684-17744

数据重加权以外的估计:矩核方法

Heiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu; 第40届国际机器学习会议论文集, PMLR 202:17745-17783

多任务差分隐私在分布偏斜下的应用

Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang; 2023年第40届国际机器学习会议论文集, PMLR 202:17784-17807

Towards Bridging the Gaps between the Right to Explanation and the Right to be Forgotten

Satyapriya Krishna, Jiaqi Ma, Himabindu Lakkaraju; 2023年第40届国际机器学习会议论文集, PMLR 202:17808-17826

Graph Neural Tangent Kernel: Convergence on Large Graphs

Sanjukta Krishnagopal, Luana Ruiz; 2023年第40届国际机器学习会议论文集, PMLR 202:17827-17841

Diffusion Models for Black-Box Optimization

Siddarth Krishnamoorthy, Satvik Mehul Mashkaria, Aditya Grover; 2023年第40届国际机器学习会议论文集, PMLR 202:17842-17857

Learning to Design Analog Circuits to Meet Threshold Specifications

Dmitrii Krylov, Pooya Khajeh, Junhan Ouyang, Thomas Reeves, Tongkai Liu, Hiba Ajmal, Hamidreza Aghasi, Roy Fox; 2023年第40届国际机器学习会议论文集, PMLR 202:17858-17873

Variance Control for Distributional Reinforcement Learning

Qi Kuang, Zhoufan Zhu, Liwen Zhang, Fan Zhou; 2023年第40届国际机器学习会议论文集, PMLR 202:17874-17895

Hierarchical Imitation Learning with Vector Quantized Models

Kalle Kujanpää, Joni Pajarinen, Alexander Ilin; 2023年第40届国际机器学习会议论文集, PMLR 202:17896-17919

SinDDM: A Single Image Denoising Diffusion Model

Vladimir Kulikov, Shahar Yadin, Matan Kleiner, Tomer Michaeli; 2023年第40届国际机器学习会议论文集, PMLR 202:17920-17930

Towards Explaining Distribution Shifts

Sean Kulinski, David I. Inouye; 2023年第40届国际机器学习会议论文集, PMLR 202:17931-17952

Featured Graph Coarsening with Similarity Guarantees

Manoj Kumar, Anurag Sharma, Shashwat Saxena, Sandeep Kumar; 2023年第40届国际机器学习会议论文集, PMLR 202:17953-17975

Modeling Dynamic Environments with Scene Graph Memory

Andrey Kurenkov, Michael Lingelbach, Tanmay Agarwal, Emily Jin, Chengshu Li, Ruohan Zhang, Li Fei-Fei, Jiajun Wu, Silvio Savarese, Roberto Martı́n-Martı́n; 2023年第40届国际机器学习会议论文集, PMLR 202:17976-17993

Tied-Augment: Controlling Representation Similarity Improves Data Augmentation

Emirhan Kurtuluş, Zichao Li, Yann Dauphin, Ekin Dogus Cubuk; 2023年第40届国际机器学习会议论文集, PMLR 202:19994-18007

Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders

Oskar Kviman, Ricky Molén, Alexandra Hotti, Semih Kurt, Vı́ctor Elvira, Jens Lagergren; 2023年第40届国际机器学习会议论文集, PMLR 202:18008-18022

GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency

Min-Seop Kwak, Jiuhn Song, Seungryong Kim; 2023年第40届国际机器学习会议论文集, PMLR 202:18023-18036

Rotation and Translation Invariant Representation Learning with Implicit Neural Representations

Sehyun Kwon, Joo Young Choi, Ernest K. Ryu; 2023年第40届国际机器学习会议论文集, PMLR 202:18037-18056

Reward-Mixing MDPs with Few Latent Contexts are Learnable

Jeongyeol Kwon, Yonathan Efroni, Constantine Caramanis, Shie Mannor; 2023年第40届国际机器学习会议论文集, PMLR 202:18057-18082

A Fully First-Order Method for Stochastic Bilevel Optimization

Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak; 2023年第40届国际机器学习会议论文集, PMLR 202:18083-18113

Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning

Dohyun Kwon, Hanbaek Lyu; 2023年第40届国际机器学习会议论文集, PMLR 202:18114-18134

Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value

Yongchan Kwon, James Zou; 2023年第40届国际机器学习会议论文集, PMLR 202:18135-18152

Emergence of Adaptive Circadian Rhythms in Deep Reinforcement Learning

Aqeel Labash, Florian Stelzer, Daniel Majoral, Raul Vicente Zafra; 2023年第40届国际机器学习会议论文集, PMLR 202:18153-18170

Synergies between Disentanglement and Sparsity: Generalization and Identifiability in Multi-Task Learning

Sebastien Lachapelle, Tristan Deleu, Divyat Mahajan, Ioannis Mitliagkas, Yoshua Bengio, Simon Lacoste-Julien, Quentin Bertrand; 2023年第40届国际机器学习会议论文集, PMLR 202:18171-18206

Nearly-Optimal Hierarchical Clustering for Well-Clustered Graphs

Steinar Laenen, Bogdan Adrian Manghiuc, He Sun; 2023年第40届国际机器学习会议论文集, PMLR 202:18207-18249

Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection

Marc Lafon, Elias Ramzi, Clément Rambour, Nicolas Thome; 2023年第40届国际机器学习会议论文集, PMLR 202:18250-18268

A theory of continuous generative flow networks

Salem Lahlou, Tristan Deleu, Pablo Lemos, Dinghuai Zhang, Alexandra Volokhova, Alex Hernández-Garcı́a, Lena Nehale Ezzine, Yoshua Bengio, Nikolay Malkin; 2023年第40届国际机器学习会议论文集, PMLR 202:18269-18300

Automatically marginalized MCMC in probabilistic programming

Jinlin Lai, Javier Burroni, Hui Guan, Daniel Sheldon; 2023年第40届国际机器学习会议论文集, PMLR 202:18301-18318

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Wen-Tau Yih, Daniel Fried, Sida Wang, Tao Yu; 2023年第40届国际机器学习会议论文集, PMLR 202:18319-18345

ChiPFormer: Transferable Chip Placement via Offline Decision Transformer

Yao Lai, Jinxin Liu, Zhentao Tang, Bin Wang, Jianye Hao, Ping Luo; 2023年第40届国际机器学习会议论文集, PMLR 202:18346-18364

FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the Underlying Score Fokker-Planck Equation

Chieh-Hsin Lai, Yuhta Takida, Naoki Murata, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon; 2023年第40届国际机器学习会议论文集, PMLR 202:18365-18398

Private Statistical Estimation of Many Quantiles

Clément Lalanne, Aurélien Garivier, Rémi Gribonval; 2023年第40届国际机器学习会议论文集, PMLR 202:18399-18418

Bootstrap in High Dimension with Low Computation

Henry Lam, Zhenyuan Liu; 2023年第40届国际机器学习会议论文集, PMLR 202:18419-18453

LegendreTron: Uprising Proper Multiclass Loss Learning

Kevin H Lam, Christian Walder, Spiridon Penev, Richard Nock; 2023年第40届国际机器学习会议论文集, PMLR 202:18454-18470

Metagenomic Binning using Connectivity-constrained Variational Autoencoders

Andre Lamurias, Alessandro Tibo, Katja Hose, Mads Albertsen, Thomas Dyhre Nielsen; 2023年第40届国际机器学习会议论文集, PMLR 202:18471-18481

Delay-Adapted Policy Optimization and Improved Regret for Adversarial MDP with Delayed Bandit Feedback

Tal Lancewicki, Aviv Rosenberg, Dmitry Sotnikov; 2023年第40届国际机器学习会议论文集, PMLR 202:18482-18534

Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability

Robert Tjarko Lange, Henning Sprekeler; 2023年第40届国际机器学习会议论文集, PMLR 202:18535-18547

On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs

Romain Laroche, Remi Tachet Des Combes; 2023年第40届国际机器学习会议论文集, PMLR 202:18548-18562

Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints

Alexandra Anna Lassota, Alexander Lindermayr, Nicole Megow, Jens Schlöter; 2023年第40届国际机器学习会议论文集, PMLR 202:18563-18583

Speeding Up Bellman Ford via Minimum Violation Permutations

Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii; 2023年第40届国际机器学习会议论文集, PMLR 202:18584-18598

Who Needs to Know? Minimal Knowledge for Optimal Coordination

Niklas Lauffer, Ameesh Shah, Micah Carroll, Michael D Dennis, Stuart Russell; 2023年第40届国际机器学习会议论文集, PMLR 202:18599-18613

Target-based Surrogates for Stochastic Optimization

Jonathan Wilder Lavington, Sharan Vaswani, Reza Babanezhad Harikandeh, Mark Schmidt, Nicolas Le Roux; 2023年第40届国际机器学习会议论文集, PMLR 202:18614-18651

Cluster Explanation via Polyhedral Descriptions

Connor Lawless, Oktay Gunluk; 2023年第40届国际机器学习会议论文集, PMLR 202:18652-18666

Pre-training for Speech Translation: CTC Meets Optimal Transport

Phuong-Hang Le, Hongyu Gong, Changhan Wang, Juan Pino, Benjamin Lecouteux, Didier Schwab; 2023年第40届国际机器学习会议论文集, PMLR 202:18667-18685

Bootstrapped Representations in Reinforcement Learning

Charline Le Lan, Stephen Tu, Mark Rowland, Anna Harutyunyan, Rishabh Agarwal, Marc G Bellemare, Will Dabney; 2023年第40届国际机器学习会议论文集, PMLR 202:18686-18713

Strategic Classification with Unknown User Manipulations

Tosca Lechner, Ruth Urner, Shai Ben-David; 2023年第40届国际机器学习会议论文集, PMLR 202:18714-18732

Learning in POMDPs is Sample-Efficient with Hindsight Observability

Jonathan Lee, Alekh Agarwal, Christoph Dann, Tong Zhang; 2023年第40届国际机器学习会议论文集, PMLR 202:18733-18773

Towards Deep Attention in Graph Neural Networks: Problems and Remedies

Soo Yong Lee, Fanchen Bu, Jaemin Yoo, Kijung Shin; 2023年第40届国际机器学习会议论文集, PMLR 202:18774-18795

InGram: Inductive Knowledge Graph Embedding via Relation Graphs

Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang; 2023年第40届国际机器学习会议论文集, PMLR 202:18796-18809

Optimality of Thompson Sampling with Noninformative Priors for Pareto Bandits

Jongyeong Lee, Junya Honda, Chao-Kai Chiang, Masashi Sugiyama; 2023年第40届国际机器学习会议论文集, PMLR 202:18810-18851

Conditional Graph Information Bottleneck for Molecular Relational Learning

Namkyeong Lee, Dongmin Hyun, Gyoung S. Na, Sungwon Kim, Junseok Lee, Chanyoung Park; 2023年第40届国际机器学习会议论文集, PMLR 202:18852-18871

Exploring Chemical Space with Score-based Out-of-distribution Generation

Seul Lee, Jaehyeong Jo, Sung Ju Hwang; 2023年第40届国际机器学习会议论文集, PMLR 202:18872-18892

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding

Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova; 2023年第40届国际机器学习会议论文集, PMLR 202:18893-18912

FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization

Jung Hyun Lee, Jeonghoon Kim, Se Jung Kwon, Dongsoo Lee; 2023年第40届国际机器学习会议论文集, PMLR 202:18913-18939

CoDi: Co-evolving Contrastive Diffusion Models for Mixed-type Tabular Synthesis

Chaejeong Lee, Jayoung Kim, Noseong Park; 2023年第40届国际机器学习会议论文集, PMLR 202:18940-18956

Minimizing Trajectory Curvature of ODE-based Generative Models

Sangyun Lee, Beomsu Kim, Jong Chul Ye; 2023年第40届国际机器学习会议论文集, PMLR 202:18957-18973

H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features

Hangbin Lee, Youngjo Lee; 2023年第40届国际机器学习会议论文集, PMLR 202:18974-18987

On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning

Hojoon Lee, Koanho Lee, Dongyoon Hwang, Hyunho Lee, Byungkun Lee, Jaegul Choo; 2023年第40届国际机器学习会议论文集, PMLR 202:18988-19009

HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption

Seewoo Lee, Garam Lee, Jung Woo Kim, Junbum Shin, Mun-Kyu Lee; 2023年第40届国际机器学习会议论文集, PMLR 202:19010-19035

QASA: Advanced Question Answering on Scientific Articles

Yoonjoo Lee, Kyungjae Lee, Sunghyun Park, Dasol Hwang, Jaehyeon Kim, Hong-In Lee, Moontae Lee; 2023年第40届国际机器学习会议论文集, PMLR 202:19036-19052

Demystifying Disagreement-on-the-Line in High Dimensions

Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani; 2023年第40届国际机器学习会议论文集, PMLR 202:19053-19093

On the Correctness of Automatic Differentiation for Neural Networks with Machine-Representable Parameters

Wonyeol Lee, Sejun Park, Alex Aiken; 2023年第40届国际机器学习会议论文集, PMLR 202:19094-19140

Implicit Jacobian regularization weighted with impurity of probability output

Sungyoon Lee, Jinseong Park, Jaewook Lee; 2023年第40届国际机器学习会议论文集, PMLR 202:19141-19184

Unsupervised Skill Discovery for Learning Shared Structures across Changing Environments

Sang-Hyun Lee, Seung-Woo Seo; 2023年第40届国际机器学习会议论文集, PMLR 202:19185-19199

Generalization Analysis for Contrastive Representation Learning

Yunwen Lei, Tianbao Yang, Yiming Ying, Ding-Xuan Zhou; 2023年第40届国际机器学习会议论文集, PMLR 202:19200-19227

Learning Control by Iterative Inversion

Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar; 2023年第40届国际机器学习会议论文集, PMLR 202:19228-19255

Sampling-Based Accuracy Testing of Posterior Estimators for General Inference

Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault-Levasseur; 2023年第40届国际机器学习会议论文集, PMLR 202:19256-19273

Fast Inference from Transformers via Speculative Decoding

Yaniv Leviathan, Matan Kalman, Yossi Matias; 2023年第40届国际机器学习会议论文集, PMLR 202:19274-19286

Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation

Orin Levy, Alon Cohen, Asaf Cassel, Yishay Mansour; 2023年第40届国际机器学习会议论文集, PMLR 202:19287-19314

GLOBE-CE: A Translation Based Approach for Global Counterfactual Explanations

Dan Ley, Saumitra Mishra, Daniele Magazzeni; 2023年第40届国际机器学习会议论文集, PMLR 202:19315-19342

TIPS: Topologically Important Path Sampling for Anytime Neural Networks

Guihong Li, Kartikeya Bhardwaj, Yuedong Yang, Radu Marculescu; 2023年第40届国际机器学习会议论文集, PMLR 202:19343-19359

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations

Anqi Li, Byron Boots, Ching-An Cheng; 2023年第40届国际机器学习会议论文集, PMLR 202:19360-19384

Internet Explorer: Targeted Representation Learning on the Open Web

Alexander Cong Li, Ellis Langham Brown, Alexei A Efros, Deepak Pathak; 2023年第40届国际机器学习会议论文集, PMLR 202:19385-19406

Prototype-oriented unsupervised anomaly detection for multivariate time series

Yuxin Li, Wenchao Chen, Bo Chen, Dongsheng Wang, Long Tian, Mingyuan Zhou; 2023年第40届国际机器学习会议论文集, PMLR 202:19407-19424

Learning Preconditioners for Conjugate Gradient PDE Solvers

Yichen Li, Peter Yichen Chen, Tao Du, Wojciech Matusik; 2023年第40届国际机器学习会议论文集, PMLR 202:19425-19439

Parallel $Q$-Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation

Zechu Li, Tao Chen, Zhang-Wei Hong, Anurag Ajay, Pulkit Agrawal; 2023年第40届国际机器学习会议论文集, PMLR 202:19440-19459

Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation

Li’Ang Li, Yifei Duan, Guanghua Ji, Yongqiang Cai; 2023年第40届国际机器学习会议论文集, PMLR 202:19460-19470

FAIRER: Fairness as Decision Rationale Alignment

Tianlin Li, Qing Guo, Aishan Liu, Mengnan Du, Zhiming Li, Yang Liu; 2023年第40届国际机器学习会议论文集, PMLR 202:19471-19489

RACE: Improve Multi-Agent Reinforcement Learning with Representation Asymmetry and Collaborative Evolution

Pengyi Li, Jianye Hao, Hongyao Tang, Yan Zheng, Xian Fu; 2023年第40届国际机器学习会议论文集, PMLR 202:19490-19503

Adversarial Collaborative Learning on Non-IID Features

Qinbin Li, Bingsheng He, Dawn Song; 2023年第40届国际机器学习会议论文集, PMLR 202:19504-19526

Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints

Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang; 2023年第40届国际机器学习会议论文集, PMLR 202:19527-19564

Transformers as Algorithms: Generalization and Stability in In-context Learning

Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak; 2023年第40届国际机器学习会议论文集, PMLR 202:19565-19594

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models

Rui Li, S. T. John, Arno Solin; 2023年第40届国际机器学习会议论文集, PMLR 202:19595-19615

Local Vertex Colouring Graph Neural Networks

Shouheng Li, Dongwoo Kim, Qing Wang; 2023年第40届国际机器学习会议论文集, PMLR 202:19616-19637

Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation

Xiaoyun Li, Ping Li; 2023年第40届国际机器学习会议论文集, PMLR 202:19638-19688

How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding

Yuchen Li, Yuanzhi Li, Andrej Risteski; 2023年第40届国际机器学习会议论文集, PMLR 202:19689-19729

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Junnan Li, Dongxu Li, Silvio Savarese, Steven Hoi; 2023年第40届国际机器学习会议论文集, PMLR 202:19730-19742

Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression

Junfan Li, Shizhong Liao; 2023年第40届国际机器学习会议论文集, PMLR 202:19743-19766

Revisiting Weighted Aggregation in Federated Learning with Neural Networks

Zexi Li, Tao Lin, Xinyi Shang, Chao Wu; 2023年第40届国际机器学习会议论文集, PMLR 202:19767-19788

Distribution-dependent McDiarmid-type Inequalities for Functions of Unbounded Interaction

Shaojie Li, Yong Liu; 2023年第40届国际机器学习会议论文集, PMLR 202:19789-19810

Optimal Convergence Rates for Agnostic Nyström Kernel Learning

Jian Li, Yong Liu, Weiping Wang; 2023年第40届国际机器学习会议论文集, PMLR 202:19811-19836

Reconstructive Neuron Pruning for Backdoor Defense

Yige Li, Xixiang Lyu, Xingjun Ma, Nodens Koren, Lingjuan Lyu, Bo Li, Yu-Gang Jiang; 2023年第40届国际机器学习会议论文集, PMLR 202:19837-19854

Meta Learning of Interface Conditions for Multi-Domain Physics-Informed Neural Networks

Shibo Li, Michael Penwarden, Yiming Xu, Conor Tillinghast, Akil Narayan, Mike Kirby, Shandian Zhe; 2023年第40届国际机器学习会议论文集, PMLR 202:19855-19881

Deep Anomaly Detection under Labeling Budget Constraints

Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph; 2023年第40届国际机器学习会议论文集, PMLR 202:19882-19910

On the Initialization of Graph Neural Networks

Jiahang Li, Yakun Song, Xiang Song, David Wipf; 2023年第40届国际机器学习会议论文集, PMLR 202:19911-19931

Federated Adversarial Learning: A Framework with Convergence Analysis

Xiaoxiao Li, Zhao Song, Jiaming Yang; 2023年第40届国际机器学习会议论文集, PMLR 202:19932-19959

How Powerful are Shallow Neural Networks with Bandlimited Random Weights?

Ming Li, Sho Sonoda, Feilong Cao, Yu Guang Wang, Jiye Liang; 2023年第40届国际机器学习会议论文集, PMLR 202:19960-19981

Efficient Quantum Algorithms for Quantum Optimal Control

Xiantao Li, Chunhao Wang; 2023年第40届国际机器学习会议论文集, PMLR 202:19982-19994

Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling

Yunfan Li, Yiran Wang, Yu Cheng, Lin Yang; 2023年第40届国际机器学习会议论文集, PMLR 202:19995-20034

Hierarchical Diffusion for Offline Decision Making

Wenhao Li, Xiangfeng Wang, Bo Jin, Hongyuan Zha; 2023年第40届国际机器学习会议论文集, PMLR 202:20035-20064

Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions

Wanshan Li, Daren Wang, Alessandro Rinaldo; 2023年第40届国际机器学习会议论文集, PMLR 202:20065-20148

Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

Siyuan Li, Di Wu, Fang Wu, Zelin Zang, Stan Z. Li; 2023年第40届国际机器学习会议论文集, PMLR 202:20149-20167

Learning Antidote Data to Individual Unfairness

Peizhao Li, Ethan Xia, Hongfu Liu; 2023年第40届国际机器学习会议论文集, PMLR 202:20168-20181

Propensity Matters: Measuring and Enhancing Balancing for Recommendation

Haoxuan Li, Yanghao Xiao, Chunyuan Zheng, Peng Wu, Peng Cui; 2023年第40届国际机器学习会议论文集, PMLR 202:20182-20194

GraphCleaner: Detecting Mislabelled Samples in Popular Graph Learning Benchmarks

Yuwen Li, Miao Xiong, Bryan Hooi; 2023年第40届国际机器学习会议论文集, PMLR 202:20195-20209

SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process

Zichong Li, Yanbo Xu, Simiao Zuo, Haoming Jiang, Chao Zhang, Tuo Zhao, Hongyuan Zha; 2023年第40届国际机器学习会议论文集, PMLR 202:20210-20220

马尔可夫决策过程和博弈的无视界学习:随机有界奖励和改进界

李晟石, 杨林; 第40届国际机器学习会议论文集, PMLR 202:20221-20252

规划者的超验唯心论:从规划角度评估自动驾驶的感知

李维新, 杨晓东; 第40届国际机器学习会议论文集, PMLR 202:20253-20275

具有鲁棒性保证的边加权在线二部匹配学习

李鹏飞, 杨建一, 任绍雷; 第40届国际机器学习会议论文集, PMLR 202:20276-20295

FedVS:面向分片模型的抗掉队和隐私保护的垂直联邦学习

李松泽, 姚杜一 , 刘锦; 第40届国际机器学习会议论文集, PMLR 202:20296-20311

实现无层级近似的双层规划与均衡约束

李嘉阳, 余靖, 刘博艺, 聂宇, 王兆然; 第40届国际机器学习会议论文集, PMLR 202:20312-20335

LoSparse:基于低秩和稀疏近似的大型语言模型结构化压缩

李翊霄, 于一凡, 张庆如, 梁辰, 何鹏程, 陈巍竹, 赵拓; 第40届国际机器学习会议论文集, PMLR 202:20336-20350

Nesterov遇上乐观主义:速率最优的可分离极小极大优化

李君驰, 袁辉灼, Gauthier Gidel,  顾全全, Michael Jordan; 第40届国际机器学习会议论文集, PMLR 202:20351-20383

交替局部枚举(TnALE):用更少的评估来搜索张量网络结构

李超, 曾军华, 李春梅, Cesar F Caiafa, 赵启斌; 第40届国际机器学习会议论文集, PMLR 202:20384-20411

理解课程学习对单任务强化学习的复杂性增益

李奇阳, 翟翔宇, 马毅, Sergey Levine; 第40届国际机器学习会议论文集, PMLR 202:20412-20451

神经网络真的能编码符号概念吗?

李明杰, 张 উৎসাহিত; 第40届国际机器学习会议论文集, PMLR 202:20452-20469

面向零样本协调的合作开放式学习框架

李阳, 张邵, 孙霁辰, 杜亚丽, 温颖, 王新兵, 潘伟; 第40届国际机器学习会议论文集, PMLR 202:20470-20484

具有闭式策略改进算子的离线强化学习

李嘉诚, Edwin Zhang, 尹明, 白钦勋, 王玉翔, 王William Yang; 第40届国际机器学习会议论文集, PMLR 202:20485-20528

具有背包约束的最优臂识别

李韶昂, 张兰, 于英琪, 李向阳; 第40届国际机器学习会议论文集, PMLR 202:20529-20555

内部奖励的强化学习

李孟迪, 赵旭峰, Jae Hee Lee, Cornelius Weber, Stefan Wermter; 第40届国际机器学习会议论文集, PMLR 202:20556-20574

在反事实无害标准下值得信赖的策略学习

李昊轩, 郑纯源, 曹以霄, 耿直, 刘悦, 吴鹏; 第40届国际机器学习会议论文集, PMLR 202:20575-20598

具有图模型先验的结构化协作学习

李双彤, 周天一, 田新梅,  陶大程; 第40届国际机器学习会议论文集, PMLR 202:20599-20622

低复杂度同胚投影以确保神经网络解在(非)凸集上的可行性

梁恩铭, 陈明华, Steven Low; 第40届国际机器学习会议论文集, PMLR 202:20623-20649

多核聚类的连贯性

梁维轩, 刘鑫旺, 刘勇, 马川, 赵云平, 刘哲, 朱恩; 第40届国际机器学习会议论文集, PMLR 202:20650-20676

风险度量置信度界限的分布优化框架

梁浩, 罗智全; 第40届国际机器学习会议论文集, PMLR 202:20677-20705

准确率曲线:关于数据子群体之间机器学习性能的非线性相关性

梁维新, 毛懿宁, Yongchan Kwon, 杨欣宇, James Zou; 第40届国际机器学习会议论文集, PMLR 202:20706-20724

AdaptDiffuser:将扩散模型作为自适应的自演化规划器

梁致远, 木尧, 丁明宇, 倪飞, Tomizuka Masayoshi, 罗平; 第40届国际机器学习会议论文集, PMLR 202:20725-20745

使用Coreset和标准化值预测学习编译器通道顺序

梁有为, Kevin Stone, Ali Shameli, Chris Cummins, Mostafa Elhoushi, 郭嘉栋, Benoit Steiner, 杨晓萌, 谢鹏程, Hugh James Leather, 田渊栋; 第40届国际机器学习会议论文集, PMLR 202:20746-20762

对抗性样本的益处:通过对抗性样本防止扩散模型的绘画模仿

梁楚蒙, 吴晓宇, 华阳, 张嘉儒, 薛一鸣, 宋涛, 薛正贵, 马蕊, 管海兵; 第40届国际机器学习会议论文集, PMLR 202:20763-20786

CLUSTSEG:用于通用分割的聚类

梁辰浩, 周天飞, 刘东方, 王文冠; 第40届国际机器学习会议论文集, PMLR 202:20787-20809

带有早停的神经网络的保形推断几乎是免费的

梁子逸, 周延飞, Matteo Sesia; 第40届国际机器学习会议论文集, PMLR 202:20810-20851

少即是多:面向语言模型压缩的任务感知层级蒸馏

梁辰, 左思淼, 张庆如, 何鹏程, 陈巍竹, 赵拓; 第40届国际机器学习会议论文集, PMLR 202:20852-20867

首价计价均衡的统计推断和A/B测试

廖罗峰, Christian Kroer; 第40届国际机器学习会议论文集, PMLR 202:20868-20905

用于检索的监督度量学习排序通过上下文相似度优化

Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis; 第40届国际机器学习会议论文集, PMLR 202:20906-20938

通过松弛状态对抗策略优化重新审视领域随机化

Lien Yun-Hsuan, Hsieh Ping-Chun, Wang Yu-Shuen; 第40届国际机器学习会议论文集, PMLR 202:20939-20949

变分开放域问答

Valentin Liévin, Andreas Geert Motzfeldt, Ida Riis Jensen, Ole Winther; 第40届国际机器学习会议论文集, PMLR 202:20950-20977

通过等变地扩散定向残基云生成新颖、可设计和多样化的蛋白质结构

林烨清, Mohammed Alquraishi; 第40届国际机器学习会议论文集, PMLR 202:20978-21002

双曲扩散嵌入和距离用于分层表示学习

林亚伟, Ronald R. Coifman, Gal Mishne, Ronen Talmon; 第40届国际机器学习会议论文集, PMLR 202:21003-21025

动量基正定子流形优化的简化及其在深度学习中的应用

林武, Valentin Duruisseaux, Melvin Leok, Frank Nielsen, Mohammad Emtiyaz Khan, Mark Schmidt; 第40届国际机器学习会议论文集, PMLR 202:21026-21050

文本生成扩散语言模型:一种带有连续段落去噪的预训练方法

林正皓, 龚叶韵, 沈业隆, 吴童, 范志浩, 林辰, 段楠, 陈巍竹; 第40届国际机器学习会议论文集, PMLR 202:21051-21064

用于解耦的话语级语音表示的自监督神经因子分析

林伟伟, 何晨行, 麦文伟, 涂友志; 第40届国际机器学习会议论文集, PMLR 202:21065-21077

关于持续学习遗忘和泛化的理论

林森, 居培中, 梁英彬, Ness Shroff; 第40届国际机器学习会议论文集, PMLR 202:21078-21100

具有外插功能的加速循环坐标对偶平均法用于复合凸优化

林焯彦, 宋超兵, Jelena Diakonikolas; 第40届国际机器学习会议论文集, PMLR 202:21101-21126

具有实时预算约束的安全离线强化学习

林乾, 唐波, 吴子帆, 余超, 毛尚钦, 谢乾龙, 王兴兴, 王栋; 第40届国际机器学习会议论文集, PMLR 202:21127-21152

概率展开:潜在高斯模型的尺度化、无反演最大似然估计

Alexander Lin, Bahareh Tolooshams, Yves Atchade, Demba E. Ba; 第40届国际机器学习会议论文集, PMLR 202:21153-21181

具有保形成本控制的快速在线值最大化预测集

林臻, Shubhendu Trivedi, 肖操, 孙剑梦; 第40届国际机器学习会议论文集, PMLR 202:21182-21203

通过图像特征的迷雾揭示位置信息模式

林杰 Hubert, 曾宏宇, 李辛颖, Maneesh Kumar Singh, 杨明轩; 第40届国际机器学习会议论文集, PMLR 202:21204-21222

公平且渐近相等的协作学习

林晓强, 徐欣怡, 吴锡金, 方传胜, Low Bryan Kian Hsiang; 第40届国际机器学习会议论文集, PMLR 202:21223-21259

用于晶体性质预测的完整原子间势的有效近似

林宇超, 严克强, 罗友直, 刘艺, 钱晓宁, 季水旺; 第40届国际机器学习会议论文集, PMLR 202:21260-21287

同伦优化的连续路径学习

林曦, 杨志远, 张晓园, 张庆福; 第40届国际机器学习会议论文集, PMLR 202:21288-21311

速度无关的在线调度:知道(精确)速度并非必要

Alexander Lindermayr, Nicole Megow, Martin Rapp; 第40届国际机器学习会议论文集, PMLR 202:21312-21334

软对齐图混合

凌宏毅, 蒋志猛, 刘萌, 季水旺, 邹娜; 第40届国际机器学习会议论文集, PMLR 202:21335-21349

用于影响最大化的深度图表示学习和优化

凌辰, 蒋俊杰, 王骏翔, My T. Thai, 薛仁浩, 宋杰姆斯, 邱美康, 赵亮; 第40届国际机器学习会议论文集, PMLR 202:21350-21361

从反思经验中涌现出的智能体Transformer

刘浩, Pieter Abbeel; 第40届国际机器学习会议论文集, PMLR 202:21362-21374

基于Shapley的残差分解用于实例分析

刘汤米, Amanda S Barnard; 第40届国际机器学习会议论文集, PMLR 202:21375-21387

学习无组合性假设的表示

刘德森, Jeroen Berrevoets, 钱兆治, Mihaela Van Der Schaar; 第40届国际机器学习会议论文集, PMLR 202:21388-21403

通过梯度分裂实现异构数据上的拜占庭鲁棒学习

刘雨辰, 陈辰, 吕灵娟, 吴方昭, 吴赛, 陈刚; 第40届国际机器学习会议论文集, PMLR 202:21404-21425

面向优化学习的数学结构构建

刘家琳, 陈晓涵, 王张阳, 殷卫星, 蔡翰钦; 第40届国际机器学习会议论文集, PMLR 202:21426-21449

AudioLDM:具有潜在扩散模型的文本到音频生成

刘浩赫, 陈泽华, 袁艺, 梅新浩, 刘旭波, Danilo Mandic, 王文武, Mark D Plumbley; 第40届国际机器学习会议论文集, PMLR 202:21450-21474

标签噪声转移矩阵的可辨识性

刘洋, 成浩, 张坤; 第40届国际机器学习会议论文集, PMLR 202:21475-21496

用于分子多模态预训练的群对称随机微分方程模型

刘圣超, 杜伟涛, 马志明, 郭鸿宇, 唐剑; 第40届国际机器学习会议论文集, PMLR 202:21497-21526

使用扰动改进基于核化Stein差异的拟合优度检验

刘星, Andrew B. Duncan, Axel Gandy; 第40届国际机器学习会议论文集, PMLR 202:21527-21547

Cones:扩散模型中的概念神经元用于定制生成

刘志恒, 冯蕊莉, 朱凯, 张一飞, 郑克成, 刘宇, 赵德力, 周靖人, 曹阳; 第40届国际机器学习会议论文集, PMLR 202:21548-21566

面向不完美信息博弈的对手限制在线搜索

刘伟明, 傅浩波, 傅强, 魏阳; 第40届国际机器学习会议论文集, PMLR 202:21567-21585

通过良性离策略数据实现鲁棒和安全的强化学习

刘祖鑫, 郭子健, 岑哲鹏, 张欢, 姚一航, 胡瀚江, 赵鼎; 第40届国际机器学习会议论文集, PMLR 202:21586-21610

用于离线安全强化学习的约束决策Transformer

刘祖鑫, 郭子健, 姚一航, 岑哲鹏, 禹文浩, 张庭楠, 赵鼎; 第40届国际机器学习会议论文集, PMLR 202:21611-21630

理解和防御基于补丁的视觉Transformer对抗攻击

刘亮, 郭亚男, 张优涛, 杨军; 第40届国际机器学习会议论文集, PMLR 202:21631-21657

NUNO:用于具有非均匀数据参数化偏微分方程学习的通用框架

刘松明, 郝钟凯, 应承阳, 苏杭, 程泽, 朱军; 第40届国际机器学习会议论文集, PMLR 202:21658-21671

通过学习组合程序进行分层程序强化学习

刘冠廷, 胡恩沛, 程普仁, 李宏毅, 孙少华; 第40届国际机器学习会议论文集, PMLR 202:21672-21697

通过自归一化实现局部差分隐私分位数推断的在线方法

刘怡, 胡琦锐, 丁磊, 孔玲珑; 第40届国际机器学习会议论文集, PMLR 202:21698-21714

GFlowOut:具有生成流网络的Dropout

刘典博, Moksh Jain, Bonaventure F. P. Dossou, 沈乾立, Salem Lahlou, Anirudh Goyal, Nikolay Malkin, Chris Chinenye Emezue, 张定淮, Nadhir Hassen, 吉旭, Kenji Kawaguchi, Yoshua Bengio; 第40届国际机器学习会议论文集, PMLR 202:21715-21729

2D-Shapley:碎片化数据评估框架

刘志宏, Hoang Anh Just, 张翔宇, 陈曦, 贾若曦; 第40届国际机器学习会议论文集, PMLR 202:21730-21755

面向潜在干预非平稳数据的因果结构学习

刘晨曦, 况昆; 第40届国际机器学习会议论文集, PMLR 202:21756-21777

结构重加权改进图域自适应

刘诗坤, 李天淳, 冯永彬, Nhan Tran, 赵汉, 邱强, 李潘; 第40届国际机器学习会议论文集, PMLR 202:21778-21793

Dink-Net:大规模图上的神经网络聚类

刘岳, 梁可, 夏俊, 周思航, 杨锡红, 刘鑫旺, 李世刚; 第40届国际机器学习会议论文集, PMLR 202:21794-21812

无振荡量化用于低比特视觉Transformer

刘世扬, 刘泽纯, 郑广庭; 第40届国际机器学习会议论文集, PMLR 202:21813-21824

理解从深度生成模型到可处理概率电路的蒸馏过程

刘学杰, 刘安吉, Guy Van Den Broeck, 梁一涛; 第40届国际机器学习会议论文集, PMLR 202:21825-21838

无振荡乘数法用于无下层强凸性的双层优化

刘日生, 刘耀华, 姚伟, 曾尚志, 张锦; 第40届国际机器学习会议论文集, PMLR 202:21839-21866

图切换动力系统

刘永拓, Sara Magliacane, Miltiadis Kofinas, Efstratios Gavves; 第40届国际机器学习会议论文集, PMLR 202:21867-21883

随机梯度方法的收敛性(高概率)

刘子建, Ta Duy Nguyen, Thien Hang Nguyen, Alina Ene, Huy Nguyen; 第40届国际机器学习会议论文集, PMLR 202:21884-21914

OMS-DPM:扩散概率模型的模型调度优化

刘恩树, 宁学菲, 林子南, 杨华忠, 王钰; 第40届国际机器学习会议论文集, PMLR 202:21915-21936

懒惰代理:解决多智能体强化学习稀疏奖励问题的新视角

刘博寅, 蒲志强, 潘亿, 易建强, 梁燕燕, D. Zhang; 第40届国际机器学习会议论文集, PMLR 202:21937-21950

RSC:通过随机稀疏计算加速图神经网络训练

刘子锐, 沈盛源, 周凯雄, 查达晨, 黄啸, 胡晓; 第40届国际机器学习会议论文集, PMLR 202:21951-21968

在用户级隐私下进行直方图估计的贡献边界算法

刘宇涵, Ananda Theertha Suresh, 朱闻南, Peter Kairouz, Marco Gruteser; 第40届国际机器学习会议论文集, PMLR 202:21969-21996

作为元强化学习副产品的简单具身语言学习

刘泽然 Evan, Sahaana Suri, 牟童, 周 Allan, Chelsea Finn; 第40届国际机器学习会议论文集, PMLR 202:21997-22008

使用遗传算法生成私有合成数据

刘天瑞, 唐靖武, Giuseppe Vietri, Steven Wu; 第40届国际机器学习会议论文集, PMLR 202:22009-22027

FusionRetro:用于逆合成规划的上下文学习分子表示融合

刘松涛, 杜政凯, 徐明凯, 张佐柏, 林鲁, Rex Ying, 唐剑, 赵培林, 吴鼎浩; 第40届国际机器学习会议论文集, PMLR 202:22028-22041

I$^2$SB:图像到图像薛定谔桥

刘冠宏, Arash Vahdat, 黄德安, Evangelos Theodorou, 聂伟力, Anima Anandkumar; 第40届国际机器学习会议论文集, PMLR 202:22042-22062

在线强化学习在函数近似和通用覆盖条件下的优势是什么?

刘方卉, Luca Viano, Volkan Cevher; 第40届国际机器学习会议论文集, PMLR 202:22063-22091

TR0N:用于零样本即插即用条件生成的翻译器网络

刘兆岩, Noël Vouitsis, Satya Krishna Gorti, Jimmy Ba, Gabriel Loaiza-Ganem; 第40届国际机器学习会议论文集, PMLR 202:22092-22112

参数化函数逼近的全局优化

刘冲, 王宇翔; 第40届国际机器学习会议论文集, PMLR 202:22113-22136

Deja Vu:推理时间的上下文稀疏性以提高LLM效率

刘子昌, 王珏, Tri Dao, 周天一, 袁冰行, 宋赵, Anshumali Shrivastava, 张策, 田渊栋, Christopher Re, 陈贝迪; 第40届国际机器学习会议论文集, PMLR 202:22137-22176

陷门归一化和不可逆所有权验证

刘汉文, 翁振宇, 朱跃生, 牟亚东; 第40届国际机器学习会议论文集, PMLR 202:22177-22187

相同的预训练损失,更好的下游:语言模型中的隐式偏差很重要

刘洪, Xie Sang Michael, 李志远, 马腾宇; 第40届国际机器学习会议论文集, PMLR 202:22188-22214

分类法结构域自适应

刘天一, 徐子豪, 何浩, 郝光元, 李光赫, 王浩; 第40届国际机器学习会议论文集, PMLR 202:22215-22232

Dropout减少欠拟合

刘壮, 徐志求, Joseph Jin, 沈志强, Trevor Darrell; 第40届国际机器学习会议论文集, PMLR 202:22233-22248

重新审视单正多标签学习的伪标签

刘彪, 徐宁, 吕佳琪, 耿欣; 第40届国际机器学习会议论文集, PMLR 202:22249-22265

具有双价值网络的逆合成规划

刘国庆, 薛迪, 谢树芳, 夏英策, Austin Tripp, Krzysztof Maziarz, Marwin Segler, 秦涛, 张宗章, 刘铁岩; 第40届国际机器学习会议论文集, PMLR 202:22266-22276

具有对抗和静态约束的在线非随机控制

刘鑫, 杨梓贤, 应雷; 第40届国际机器学习会议论文集, PMLR 202:22277-22288

加速反问题优化

刘天赐, 杨彤, 张泉, 雷奇; 第40届国际机器学习会议论文集, PMLR 202:22289-22319

从多个黑盒预言机中主动策略改进

刘学峰, Takuma Yoneda, 王超奇, Matthew Walter, 陈宇信; 第40届国际机器学习会议论文集, PMLR 202:22320-22337

基于梯度的Wang-Landau算法:一种新颖的神经网络输出分布在输入空间上的采样器

刘炜唐, 尤一庄, 李应伟, 尚晶波; 第40届国际机器学习会议论文集, PMLR 202:22338-22351

VectorMapNet:端到端向量化高清地图学习

刘一晨, 袁天辰, 王悦, 王一伦, 赵航; 第40届国际机器学习会议论文集, PMLR 202:22352-22369

部分可观察多智能体强化学习(准)高效:信息共享的优势

刘翔宇, 张凯庆; 第40届国际机器学习会议论文集, PMLR 202:22370-22419

Prometheus:约束去中心化随机双层学习中的样本和通信复杂度驯服

刘 Zhuqing, 张鑫, Prashant Khanduri, 宋涛, 刘佳; 第40届国际机器学习会议论文集, PMLR 202:22420-22453

D2Match:利用深度学习和退化进行子图匹配

刘炫洲, 张琳, 孙佳琪, 杨宇久, 杨海琴; 第40届国际机器学习会议论文集, PMLR 202:22454-22472

图像快捷挤压:用压缩对抗基于扰动的可用性攻击

刘卓然, 赵正宇, Martha Larson; 第40届国际机器学习会议论文集, PMLR 202:22473-22487

应迁移哪种不变性?一种因果极小极大学习方法

刘明周, 郑翔宇, 孙新伟, 方芳, 王一舟; 第40届国际机器学习会议论文集, PMLR 202:22488-22527

通过扩散修复进行无监督的分布外检测

刘真真, 周锦鹏, 王宇帆, Kilian Q Weinberger; 第40届国际机器学习会议论文集, PMLR 202:22528-22538

N$\text{A}^{\text{2}}$Q:用于可解释多智能体Q学习的神经注意力加性模型

刘子川, 朱宇阳, 陈春林; 第40届国际机器学习会议论文集, PMLR 202:22539-22558

具有概率触发臂的上下文组合赌博机

刘旭彤, 左金航, 王思维, John C.S. Lui, Mohammad Hajiesmaili, Adam Wierman, 陈伟; 第40届国际机器学习会议论文集, PMLR 202:22559-22593

通过抛硬币来估计强化学习中的探索伪计数

Sam Lobel, Akhil Bagaria, George Konidaris; 第40届国际机器学习会议论文集, PMLR 202:22594-22613

多对称集成:通过对立对称性提高多样性和泛化能力

Charlotte Loh, Seungwook Han, Shivchander Sudalairaj, Rumen Dangovski, Kai Xu, Florian Wenzel, Marin Soljacic, Akash Srivastava; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22614-22630

Flan 系列:为有效的指令调优设计数据和方法

Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, Adam Roberts; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22631-22648

具有凸化隐式梯度的imerick蒸馏

Noel Loo, Ramin Hasani, Mathias Lechner, Daniela Rus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22649-22674

反射扩散模型

Aaron Lou, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22675-22701

不要在意指标——不确定性呢?可视化二元混淆矩阵指标分布,以更全面地看待性能

David Lovell, Dimity Miller, Jaiden Capra, Andrew P. Bradley; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22702-22757

具有耦合决策依赖分布的双层优化

Songtao Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22758-22789

两尺度梯度下降上升动力学从均值场视角找到连续博弈的混合纳什均衡

Yulong Lu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22790-22811

STEP:从头开始学习N:M结构化稀疏掩码,并进行预条件处理

Yucheng Lu, Shivani Agrawal, Suvinay Subramanian, Oleg Rybakov, Christopher De Sa, Amir Yazdanbakhsh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22812-22824

离线强化学习中用于精确能量引导扩散采样的对比能量预测

Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22825-22855

探索模型目标无差别数据投毒攻击的极限

Yiwei Lu, Gautam Kamath, Yaoliang Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22856-22879

QAS-Bench:重新思考量子架构搜索及其基准

Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22880-22898

学习照片和草图之间的密集对应

Xuanchen Lu, Xiaolong Wang, Judith E Fan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22899-22916

对抗性廉价交谈

Chris Lu, Timon Willi, Alistair Letcher, Jakob Nicolaus Foerster; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22917-22941

用于分布式不确定性量化的联邦共形预测器

Charles Lu, Yaodong Yu, Sai Praneeth Karimireddy, Michael Jordan, Ramesh Raskar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22942-22964

机制模式连通性

Ekdeep Singh Lubana, Eric J Bigelow, Robert P. Dick, David Krueger, Hidenori Tanaka; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:22965-23004

交互方法的统一框架分析与协同函数

Daniel Lundstrom, Meisam Razaviyayn; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23005-23032

SegCLIP:用于开放词汇语义分割的带可学习中心的斑块聚合

Huaishao Luo, Junwei Bao, Youzheng Wu, Xiaodong He, Tianrui Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23033-23044

具有均值回归随机微分方程的图像恢复

Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23045-23066

用于通用KDE模式查找的降维

Xinyu Luo, Christopher Musco, Cas Widdershoven; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23067-23082

迭代近似交叉验证

Yuetian Luo, Zhimei Ren, Rina Barber; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23083-23102

再谈少样本分类

Xu Luo, Hao Wu, Ji Zhang, Lianli Gao, Jing Xu, Jingkuan Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23103-23123

HOPE:用于建模相互作用动力学的高阶图ODE

Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23124-23139

通过布朗运动控制器稳定GAN的训练

Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23140-23156

OCD:使用条件扩散模型学习过拟合

Shahar Lutati, Lior Wolf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23157-23169

DiscoBAX:在基因组实验设计中发现最优干预集

Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23170-23189

理解神经网络的可塑性

Clare Lyle, Zeyu Zheng, Evgenii Nikishin, Bernardo Avila Pires, Razvan Pascanu, Will Dabney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23190-23211

带资源约束的土匪:关于时变需求

Lixing Lyu, Wang Chi Cheung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23212-23238

用于广告拍卖中福利最大化的点击率预测的成对排序损失

Boxiang Lyu, Zhe Feng, Zachary Robertson, Sanmi Koyejo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23239-23263

哪些技巧对学习排序很重要?

Ivan Lyzhin, Aleksei Ustimenko, Andrey Gulin, Liudmila Prokhorenkova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23264-23278

从运动观测中学习神经本构定律,用于可泛化的PDE动力学

Pingchuan Ma, Peter Yichen Chen, Bolei Deng, Joshua B. Tenenbaum, Tao Du, Chuang Gan, Wojciech Matusik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23279-23300

LIV:用于机器人控制的语言-图像表示和奖励

Yecheng Jason Ma, Vikash Kumar, Amy Zhang, Osbert Bastani, Dinesh Jayaraman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23301-23320

Transformer 中的图归纳偏置,无需消息传递

Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23321-23337

通过噪声到噪声映射从嘈杂的3D点云学习符号距离函数

Baorui Ma, Yu-Shen Liu, Zhizhong Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23338-23357

学习直观的策略,使用动作特征

Mingwei Ma, Jizhou Liu, Samuel Sokota, Max Kleiman-Weiner, Jakob Nicolaus Foerster; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23358-23372

通过提升实现低秩矩阵传感的过参数化:将伪解转换为严格鞍点

Ziye Ma, Igor Molybog, Javad Lavaei, Somayeh Sojoudi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23373-23387

为随机优化购买信息

Mingchen Ma, Christos Tzamos; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23388-23411

生成图检测

Yihan Ma, Zhikun Zhang, Ning Yu, Xinlei He, Michael Backes, Yun Shen, Yang Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23412-23428

校准多模态学习

Huan Ma, Qingyang Zhang, Changqing Zhang, Bingzhe Wu, Huazhu Fu, Joey Tianyi Zhou, Qinghua Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23429-23450

AutoCoreset:一个自动实用协集构建框架

Alaa Maalouf, Murad Tukan, Vladimir Braverman, Daniela Rus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23451-23466

从部分回合学习GFlowNets,以提高收敛性和稳定性

Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23467-23483

具有异构预测器的应用在线算法

Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman, Zhenhua Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23484-23497

CSP:用于地理空间-视觉表示的自监督对比空间预训练

Gengchen Mai, Ni Lao, Yutong He, Jiaming Song, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23498-23515

用于推荐系统的垂直联邦图神经网络

Peihua Mai, Yan Pang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23516-23535

神经网络的记忆可以被定位吗?

Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J Zico Kolter, Chiyuan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23536-23557

具有先验信息学习的基本权衡

Anirudha Majumdar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23558-23573

具有未知图的加性因果土匪

Alan Malek, Virginia Aglietti, Silvia Chiappa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23574-23589

加权计数土匪:通过重复暴露最优性克服不可解性

Dhruv Malik, Conor Igoe, Yuanzhi Li, Aarti Singh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23590-23609

基于核的语言模型微调视角

Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23610-23641

执行强化学习

Debmalya Mandal, Stelios Triantafyllou, Goran Radanovic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23642-23680

差分隐私对分类公平性的影响是有限的

Paul Mangold, Michaël Perrot, Aurélien Bellet, Marc Tommasi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23681-23705

随机分类噪声不会打败所有凸潜在增强器,而与模型选择无关

Yishay Mansour, Richard Nock, Robert Williamson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23706-23742

$H$-一致性界限用于成对误排名损失代理

Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23743-23802

交叉熵损失函数:理论分析与应用

Anqi Mao, Mehryar Mohri, Yutao Zhong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23803-23828

用于离线强化学习的支撑信任区域优化

Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23829-23851

通过等变性实现鲁棒感知

Chengzhi Mao, Lingyu Zhang, Abhishek Vaibhav Joshi, Junfeng Yang, Hao Wang, Carl Vondrick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23852-23870

高维潜在空间中离散度的可靠度量

Anna Marbut, Katy Mckinney-Bock, Travis Wheeler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23871-23885

SRATTA:联邦学习中安全聚合的样本再归因攻击。

Tanguy Marchand, Regis Loeb, Ulysse Marteau-Ferey, Jean Ogier Du Terrail, Arthur Pignet; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23886-23914

神经符号持续学习:知识、推理捷径和概念排练

Emanuele Marconato, Gianpaolo Bontempo, Elisa Ficarra, Simone Calderara, Andrea Passerini, Stefano Teso; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23915-23936

无监督去噪的评估需要无监督指标

Adria Marcos Morales, Matan Leibovich, Sreyas Mohan, Joshua Lawrence Vincent, Piyush Haluai, Mai Tan, Peter Crozier, Carlos Fernandez-Granda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23937-23957

多变量概率预测评估中的可靠区域

Étienne Marcotte, Valentina Zantedeschi, Alexandre Drouin, Nicolas Chapados; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:23958-24004

将扩散分析为系列再现

Raja Marjieh, Ilia Sucholutsky, Thomas A Langlois, Nori Jacoby, Thomas L. Griffiths; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24005-24019

具有收敛保证的大模型量化分布式训练

Ilia Markov, Adrian Vladu, Qi Guo, Dan Alistarh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24020-24044

用于非平稳依赖的多类分类的高效变换高斯过程

Juan Maroñas, Daniel Hernández-Lobato; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24045-24081

鲁棒分类中的计算不对称性

Samuele Marro, Michele Lombardi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24082-24138

从表示角度看,神经网络是对非线性PDE的逼近

Tanya Marwah, Zachary Chase Lipton, Jianfeng Lu, Andrej Risteski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24139-24172

用于黑盒优化的生成预训练

Satvik Mehul Mashkaria, Siddarth Krishnamoorthy, Aditya Grover; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24173-24197

对算法资源分配随机试验的策略评估改进

Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24198-24213

Log-Euclidean几何中的多保真度协方差估计

Aimee Maurais, Terrence Alsup, Benjamin Peherstorfer, Youssef Marzouk; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24214-24235

通信受限的土匪在加性高斯噪声下

Prathamesh Mayekar, Jonathan Scarlett, Vincent Y. F. Tan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24236-24250

分布漂移下的非参数密度估计

Alessio Mazzetto, Eli Upfal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24251-24270

PAC-贝叶斯对抗生成模型的泛化界

Sokhna Diarra Mbacke, Florence Clerc, Pascal Germain; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24271-24290

在训练-测试模态不匹配下的多模态学习鲁棒性

Brandon Mckinzie, Vaishaal Shankar, Joseph Yitan Cheng, Yinfei Yang, Jonathon Shlens, Alexander T Toshev; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24291-24303

监督学习中特征的模型无关近度影响检验

Mohammad Mehrabi, Ryan A. Rossi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24304-24324

随机梯度在土匪问题中奏效

Jincheng Mei, Zixin Zhong, Bo Dai, Alekh Agarwal, Csaba Szepesvari, Dale Schuurmans; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24325-24360

用于干预密度估计的归一化流

Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24361-24397

使用生成预训练进行抗体序列填充

Igor Melnyk, Vijil Chenthamarakshan, Pin-Yu Chen, Payel Das, Amit Dhurandhar, Inkit Padhi, Devleena Das; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24398-24419

超人类公平

Omid Memarrast, Linh Vu, Brian D Ziebart; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24420-24435

最小化CVaR及以上的一种模型方法

Si Yi Meng, Robert M. Gower; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24436-24456

通过数据增强的少样本学习,将语言模型调优为数据生成器

Yu Meng, Martin Michalski, Jiaxin Huang, Yu Zhang, Tarek Abdelzaher, Jiawei Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24457-24477

随机调度中的抢占和学习

Nadav Merlis, Hugo Richard, Flore Sentenac, Corentin Odic, Mathieu Molina, Vianney Perchet; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24478-24516

分位数信用分配

Thomas Mesnard, Wenqi Chen, Alaa Saade, Yunhao Tang, Mark Rowland, Theophane Weber, Clare Lyle, Audrunas Gruslys, Michal Valko, Will Dabney, Georg Ostrovski, Eric Moulines, Remi Munos; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24517-24531

在缓慢变化的非集中网络上,共识加速是否可能?

Dmitry Metelev, Alexander Rogozin, Dmitry Kovalev, Alexander Gasnikov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24532-24554

逆强化学习的理论理解

Alberto Maria Metelli, Filippo Lazzati, Marcello Restelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24555-24591

具有优化动作解码的量子策略梯度算法

Nico Meyer, Daniel Scherer, Axel Plinge, Christopher Mutschler, Michael Hartmann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24592-24613

大规模在线学习中的深度代理模型训练

Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribes, Bruno Raffin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24614-24630

MANSA:多智能体系统中的快速与慢速学习

David Henry Mguni, Haojun Chen, Taher Jafferjee, Jianhong Wang, Longfei Yue, Xidong Feng, Stephen Marcus Mcaleer, Feifei Tong, Jun Wang, Yaodong Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24631-24658

多步逆运动学中的表示学习:一种高效且最优的丰富观察RL方法

Zakaria Mhammedi, Dylan J Foster, Alexander Rakhlin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24659-24700

具有非凸随机目标函数的单点基于分布式零阶优化

Elissa Mhanna, Mohamad Assaad; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24701-24719

通过捕获局部不变性来学习实例特定的增强

Ning Miao, Tom Rainforth, Emile Mathieu, Yann Dubois, Yee Whye Teh, Adam Foster, Hyunjik Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24720-24736

路径神经网络:具有表达力和准确性的图神经网络

Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24737-24755

利用进化、可塑性和元元学习来获得新认知任务的能力

Thomas Miconi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24756-24774

生成视觉刺激的解码

Eleni Miliotou, Panagiotis Kyriakis, Jason D Hinman, Andrei Irimia, Paul Bogdan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24775-24784

合作多智能体强化学习:异步通信和线性函数逼近

Yifei Min, Jiafan He, Tianhao Wang, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24785-24811

定向链生成对抗网络

Ming Min, Ruimeng Hu, Tomoyuki Ichiba; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24812-24830

关于非平稳土匪学习的信息论分析

Seungki Min, Daniel Russo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24831-24849

关于多层线性模型上梯度流的收敛性

Hancheng Min, Rene Vidal, Enrique Mallada; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24850-24887

ReLU网络的最佳集和解路径

Aaron Mishkin, Mert Pilanci; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24888-24924

双曲表示学习的数值稳定性

Gal Mishne, Zhengchao Wan, Yusu Wang, Sheng Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24925-24949

DetectGPT:使用概率曲率进行零样本机器生成文本检测

Eric Mitchell, Yoonho Lee, Alexander Khazatsky, Christopher D Manning, Chelsea Finn; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24950-24962

基于扩散的表示学习

Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24963-24982

解耦多路图表示学习

Yujie Mo, Yajie Lei, Jialie Shen, Xiaoshuang Shi, Heng Tao Shen, Xiaofeng Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:24983-25005

统一的视听学习框架,用于本地化、分离和识别

Shentong Mo, Pedro Morgado; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25006-25017

基于稀疏索引ODE的剪枝:连续稀疏性视角

Zhanfeng Mo, Haosen Shi, Sinno Jialin Pan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25018-25036

文本到概念(反之亦然)通过跨模型对齐

Mazda Moayeri, Keivan Rezaei, Maziar Sanjabi, Soheil Feizi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25037-25060

快速、有根据的经验神经网络切线核近似

Mohamad Amin Mohamadi, Wonho Bae, Danica J. Sutherland; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25061-25081

大步长梯度下降的特殊性质

Amirkeivan Mohtashami, Martin Jaggi, Sebastian U Stich; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25082-25104

用于求解PDE逆问题的神经逆算子

Roberto Molinaro, Yunan Yang, Björn Engquist, Siddhartha Mishra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:25105-25139

Input uncertainty propagation through trained neural networks

Paul Monchot, Loic Coquelin, Sébastien Julien Petit, Sébastien Marmin, Erwan Le Pennec, Nicolas Fischer; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25140-25173

Compressing Tabular Data via Latent Variable Estimation

Andrea Montanari, Eric Weiner; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25174-25208

An SDE for Modeling SAM: Theory and Insights

Enea Monzio Compagnoni, Luca Biggio, Antonio Orvieto, Frank Norbert Proske, Hans Kersting, Aurelien Lucchi; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25209-25253

Learning Deductive Reasoning from Synthetic Corpus based on Formal Logic

Terufumi Morishita, Gaku Morio, Atsuki Yamaguchi, Yasuhiro Sogawa; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25254-25274

WL meet VC

Christopher Morris, Floris Geerts, Jan Tönshoff, Martin Grohe; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25275-25302

ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs

Ted Moskovitz, Brendan O’Donoghue, Vivek Veeriah, Sebastian Flennerhag, Satinder Singh, Tom Zahavy; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25303-25336

Optimistic Planning by Regularized Dynamic Programming

Antoine Moulin, Gergely Neu; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25337-25357

Neural signature kernels as infinite-width-depth-limits of controlled ResNets

Nicola Muca Cirone, Maud Lemercier, Cristopher Salvi; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25358-25425

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models

Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Herve Jegou, Jakob Verbeek; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25426-25443

PFNs4BO: In-Context Learning for Bayesian Optimization

Samuel Müller, Matthias Feurer, Noah Hollmann, Frank Hutter; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25444-25470

Achieving High Accuracy with PINNs via Energy Natural Gradient Descent

Johannes Müller, Marius Zeinhofer; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25471-25485

Uncertain Evidence in Probabilistic Models and Stochastic Simulators

Andreas Munk, Alexander Mead, Frank Wood; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25486-25500

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

Naoki Murata, Koichi Saito, Chieh-Hsin Lai, Yuhta Takida, Toshimitsu Uesaka, Yuki Mitsufuji, Stefano Ermon; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25501-25522

DIFF2: Differential Private Optimization via Gradient Differences for Nonconvex Distributed Learning

Tomoya Murata, Taiji Suzuki; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25523-25548

Efficiently predicting high resolution mass spectra with graph neural networks

Michael Murphy, Stefanie Jegelka, Ernest Fraenkel, Tobias Kind, David Healey, Thomas Butler; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25549-25562

Dynamical Linear Bandits

Marco Mussi, Alberto Maria Metelli, Marcello Restelli; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25563-25587

Representation-Driven Reinforcement Learning

Ofir Nabati, Guy Tennenholtz, Shie Mannor; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25588-25603

DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization

Adel Nabli, Edouard Oyallon; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25604-25626

Multi-User Reinforcement Learning with Low Rank Rewards

Dheeraj Mysore Nagaraj, Suhas S Kowshik, Naman Agarwal, Praneeth Netrapalli, Prateek Jain; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25627-25659

Statistical Foundations of Prior-Data Fitted Networks

Thomas Nagler; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25660-25676

Do Machine Learning Models Learn Statistical Rules Inferred from Data?

Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25677-25693

Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation

Ilan Naiman, Nimrod Berman, Omri Azencot; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25694-25717

Effectively Using Public Data in Privacy Preserving Machine Learning

Milad Nasr, Saeed Mahloujifar, Xinyu Tang, Prateek Mittal, Amir Houmansadr; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25718-25732

Counterfactual Identifiability of Bijective Causal Models

Arash Nasr-Esfahany, Mohammad Alizadeh, Devavrat Shah; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25733-25754

Discovering Object-Centric Generalized Value Functions From Pixels

Somjit Nath, Gopeshh Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25755-25768

On Many-Actions Policy Gradient

Michal Nauman, Marek Cygan; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25769-25789

Equivariant Architectures for Learning in Deep Weight Spaces

Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25790-25816

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Siddharth Nayak, Kenneth Choi, Wenqi Ding, Sydney Dolan, Karthik Gopalakrishnan, Hamsa Balakrishnan; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25817-25833

Geometric Autoencoders - What You See is What You Decode

Philipp Nazari, Sebastian Damrich, Fred A Hamprecht; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25834-25857

Action Matching: Learning Stochastic Dynamics from Samples

Kirill Neklyudov, Rob Brekelmans, Daniel Severo, Alireza Makhzani; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25858-25889

Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains

Buddhika Nettasinghe, Samrat Chatterjee, Ramakrishna Tipireddy, Mahantesh M Halappanavar; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25890-25903

ClimaX: A foundation model for weather and climate

Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, Aditya Grover; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25904-25938

Provable Reset-free Reinforcement Learning by No-Regret Reduction

Hoai-An Nguyen, Ching-An Cheng; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25939-25955

Revisiting Over-smoothing and Over-squashing Using Ollivier-Ricci Curvature

Khang Nguyen, Nong Minh Hieu, Vinh Duc Nguyen, Nhat Ho, Stanley Osher, Tan Minh Nguyen; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25956-25979

Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach

Tri Nguyen, Shahana Ibrahim, Xiao Fu; 40th International Conference on Machine Learning 会议论文集, PMLR 202:25980-26007

Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction

Khai Nguyen, Dang Nguyen, Nhat Ho; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26008-26030

Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach

Xuan Son Nguyen, Shuo Yang; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26031-26062

Simple Disentanglement of Style and Content in Visual Representations

Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26063-26086

MetaDiffuser: Diffusion Model as Conditional Planner for Offline Meta-RL

Fei Ni, Jianye Hao, Yao Mu, Yifu Yuan, Yan Zheng, Bin Wang, Zhixuan Liang; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26087-26105

LEVER: Learning to Verify Language-to-Code Generation with Execution

Ansong Ni, Srini Iyer, Dragomir Radev, Veselin Stoyanov, Wen-Tau Yih, Sida Wang, Xi Victoria Lin; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26106-26128

Continual Vision-Language Representation Learning with Off-Diagonal Information

Zixuan Ni, Longhui Wei, Siliang Tang, Yueting Zhuang, Qi Tian; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26129-26149

Attributing Image Generative Models using Latent Fingerprints

Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26150-26165

A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback

Guanyu Nie, Yididiya Y. Nadew, Yanhui Zhu, Vaneet Aggarwal, Christopher John Quinn; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26166-26198

SinFusion: Training Diffusion Models on a Single Image or Video

Yaniv Nikankin, Niv Haim, Michal Irani; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26199-26214

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks at the Edge

Mahdi Nikdan, Tommaso Pegolotti, Eugenia Iofinova, Eldar Kurtic, Dan Alistarh; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26215-26227

Anti-Exploration by Random Network Distillation

Alexander Nikulin, Vladislav Kurenkov, Denis Tarasov, Sergey Kolesnikov; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26228-26244

Input Perturbation Reduces Exposure Bias in Diffusion Models

Mang Ning, Enver Sangineto, Angelo Porrello, Simone Calderara, Rita Cucchiara; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26245-26265

Primal and Dual Analysis of Entropic Fictitious Play for Finite-sum Problems

Atsushi Nitanda, Kazusato Oko, Denny Wu, Nobuhito Takenouchi, Taiji Suzuki; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26266-26282

The Statistical Scope of Multicalibration

Georgy Noarov, Aaron Roth; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26283-26310

Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling

Kolby Nottingham, Prithviraj Ammanabrolu, Alane Suhr, Yejin Choi, Hannaneh Hajishirzi, Sameer Singh, Roy Fox; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26311-26325

Gradient-Free Structured Pruning with Unlabeled Data

Azade Nova, Hanjun Dai, Dale Schuurmans; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26326-26341

CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets

Zachary Novack, Julian Mcauley, Zachary Chase Lipton, Saurabh Garg; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26342-26362

Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction

Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan Oseledets; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26363-26381

Efficient Exploration via Epistemic-Risk-Seeking Policy Optimization

Brendan O’Donoghue; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26382-26402

Provable Benefit of Mixup for Finding Optimal Decision Boundaries

Junsoo Oh, Chulhee Yun; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26403-26450

Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances

Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26451-26473

Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality

Guy Ohayon, Theo Joseph Adrai, Michael Elad, Tomer Michaeli; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26474-26494

On the Within-Group Fairness of Screening Classifiers

Nastaran Okati, Stratis Tsirtsis, Manuel Gomez Rodriguez; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26495-26516

Diffusion Models are Minimax Optimal Distribution Estimators

Kazusato Oko, Shunta Akiyama, Taiji Suzuki; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26517-26582

How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy

Raphael Olivier, Bhiksha Raj; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26583-26598

B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding

Miruna Oprescu, Jacob Dorn, Marah Ghoummaid, Andrew Jesson, Nathan Kallus, Uri Shalit; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26599-26618

Measuring the Impact of Programming Language Distribution

Gabriel Orlanski, Kefan Xiao, Xavier Garcia, Jeffrey Hui, Joshua Howland, Jonathan Malmaud, Jacob Austin, Rishabh Singh, Michele Catasta; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26619-26645

When does Privileged information Explain Away Label Noise?

Guillermo Ortiz-Jimenez, Mark Collier, Anant Nawalgaria, Alexander Nicholas D’Amour, Jesse Berent, Rodolphe Jenatton, Efi Kokiopoulou; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26646-26669

Resurrecting Recurrent Neural Networks for Long Sequences

Antonio Orvieto, Samuel L Smith, Albert Gu, Anushan Fernando, Caglar Gulcehre, Razvan Pascanu, Soham De; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26670-26698

Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process

Yidong Ouyang, Liyan Xie, Guang Cheng; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26699-26723

On the Role of Attention in Prompt-tuning

Samet Oymak, Ankit Singh Rawat, Mahdi Soltanolkotabi, Christos Thrampoulidis; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26724-26768

Revisiting the Linear-Programming Framework for Offline RL with General Function Approximation

Asuman E. Ozdaglar, Sarath Pattathil, Jiawei Zhang, Kaiqing Zhang; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26769-26791

Extrapolative Controlled Sequence Generation via Iterative Refinement

Vishakh Padmakumar, Richard Yuanzhe Pang, He He, Ankur P Parikh; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26792-26808

Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed!

Avik Pal, Alan Edelman, Christopher Vincent Rackauckas; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26809-26819

Controlled Differential Equations on Long Sequences via Non-standard Wavelets

Sourav Pal, Zhanpeng Zeng, Sathya N. Ravi, Vikas Singh; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26820-26836

Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the Machiavelli Benchmark

Alexander Pan, Jun Shern Chan, Andy Zou, Nathaniel Li, Steven Basart, Thomas Woodside, Hanlin Zhang, Scott Emmons, Dan Hendrycks; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26837-26867

Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering

Erlin Pan, Zhao Kang; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26868-26877

Better Training of GFlowNets with Local Credit and Incomplete Trajectories

Ling Pan, Nikolay Malkin, Dinghuai Zhang, Yoshua Bengio; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26878-26890

A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer

Hongyi Pan, Xin Zhu, Salih Furkan Atici, Ahmet Cetin; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26891-26903

Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.

Ioannis Panageas, Stratis Skoulakis, Luca Viano, Xiao Wang, Volkan Cevher; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26904-26930

Flash: Concept Drift Adaptation in Federated Learning

Kunjal Panchal, Sunav Choudhary, Subrata Mitra, Koyel Mukherjee, Somdeb Sarkhel, Saayan Mitra, Hui Guan; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26931-26962

Learn to Accumulate Evidence from All Training Samples: Theory and Practice

Deep Shankar Pandey, Qi Yu; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26963-26989

Secure Federated Correlation Test and Entropy Estimation

Qi Pang, Lun Wang, Shuai Wang, Wenting Zheng, Dawn Song; 40th International Conference on Machine Learning 会议论文集, PMLR 202:26990-27010

Task-Specific Skill Localization in Fine-tuned Language Models

Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao, Sanjeev Arora; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27011-27033

Kernel Sufficient Dimension Reduction and Variable Selection for Compositional Data via Amalgamation

Junyoung Park, Jeongyoun Ahn, Cheolwoo Park; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27034-27047

Learning Affinity with Hyperbolic Representation for Spatial Propagation

Jin-Hwi Park, Jaesung Choe, Inhwan Bae, Hae-Gon Jeon; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27048-27073

TRAK: Attributing Model Behavior at Scale

Sung Min Park, Kristian Georgiev, Andrew Ilyas, Guillaume Leclerc, Aleksander Madry; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27074-27113

Test-Time Style Shifting: Handling Arbitrary Styles in Domain Generalization

Jungwuk Park, Dong-Jun Han, Soyeong Kim, Jaekyun Moon; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27114-27131

Towards Understanding Ensemble Distillation in Federated Learning

Sejun Park, Kihun Hong, Ganguk Hwang; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27132-27187

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows

Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27188-27203

Differentially Private Sharpness-Aware Training

Jinseong Park, Hoki Kim, Yujin Choi, Jaewook Lee; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27204-27224

Controllability-Aware Unsupervised Skill Discovery

Seohong Park, Kimin Lee, Youngwoon Lee, Pieter Abbeel; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27225-27245

Predictable MDP Abstraction for Unsupervised Model-Based RL

Seohong Park, Sergey Levine; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27246-27268

Neural Stochastic Differential Games for Time-series Analysis

Sungwoo Park, Byoungwoo Park, Moontae Lee, Changhee Lee; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27269-27293

Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations

Jisun Park, Ernest K. Ryu; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27294-27345

Model-based Reinforcement Learning with Scalable Composite Policy Gradient Estimators

Paavo Parmas, Takuma Seno, Yuma Aoki; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27346-27377

PAC Generalization via Invariant Representations

Advait U Parulekar, Karthikeyan Shanmugam, Sanjay Shakkottai; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27378-27400

Stochastic Gradient Descent-Induced Drift of Representation in a Two-Layer Neural Network

Farhad Pashakhanloo, Alexei Koulakov; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27401-27419

Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs

Saro Passaro, C. Lawrence Zitnick; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27420-27438

Federated Online and Bandit Convex Optimization

Kumar Kshitij Patel, Lingxiao Wang, Aadirupa Saha, Nathan Srebro; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27439-27460

Brauer’s Group Equivariant Neural Networks

Edward Pearce-Crump; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27461-27482

How Jellyfish Characterise Alternating Group Equivariant Neural Networks

Edward Pearce-Crump; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27483-27495

Can Large Language Models Reason about Program Invariants?

Kexin Pei, David Bieber, Kensen Shi, Charles Sutton, Pengcheng Yin; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27496-27520

Dynamics-inspired Neuromorphic Visual Representation Learning

Zhengqi Pei, Shuhui Wang; 40th International Conference on Machine Learning 会议论文集, PMLR 202:27521-27541

Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation

Gao Peifeng, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27542-27563

公平邻域嵌入

Jaakko Peltonen, Wen Xu, Timo Nummenmaa, Jyrki Nummenmaa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27564-27584

理想的持续学习者:永不遗忘的智能体

Liangzu Peng, Paris Giampouras, Rene Vidal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27585-27610

MolDiff:解决3D分子扩散生成中的原子-键不一致性问题

Xingang Peng, Jiaqi Guan, Qiang Liu, Jianzhu Ma; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27611-27629

诊断、反馈、适应:用于测试时策略适应的人机协作框架

Andi Peng, Aviv Netanyahu, Mark K Ho, Tianmin Shu, Andreea Bobu, Julie Shah, Pulkit Agrawal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27630-27641

学习隐马尔可夫模型,当缺失观测值的位置未知时

Binyamin Perets, Mark Kozdoba, Shie Mannor; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27642-27667

估计无监督异常检测中的污染因子分布

Lorenzo Perini, Paul-Christian Bürkner, Arto Klami; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27668-27679

高维广义线性估计中的高斯数据是否就够了?普遍性的范围和极限

Luca Pesce, Florent Krzakala, Bruno Loureiro, Ludovic Stephan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27680-27708

证明集成模型:一种具有S-Lipschitzness的通用证明理论

Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip Torr, Adel Bibi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27709-27736

学习到的局部线性模型对非线性策略优化的能力

Daniel Pfrommer, Max Simchowitz, Tyler Westenbroek, Nikolai Matni, Stephen Tu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27737-27821

用于最大割SDP的可扩展Frank-Wolfe算法

Chi Bach Pham, Wynita Griggs, James Saunderson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27822-27839

基于注意力机制的循环模型用于随机部分可观测多智能体强化学习

Thomy Phan, Fabian Ritz, Philipp Altmann, Maximilian Zorn, Jonas Nüßlein, Michael Kölle, Thomas Gabor, Claudia Linnhoff-Popien; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27840-27853

HyperTuning:在没有反向传播的情况下适应大型语言模型

Jason Phang, Yi Mao, Pengcheng He, Weizhu Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27854-27875

线性CNN仅通过最主要的频率发现数据集的统计结构

Hannah Pinson, Joeri Lenaerts, Vincent Ginis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27876-27906

标签偏移下联邦不确定性量化的共形预测

Vincent Plassier, Mehdi Makni, Aleksandr Rubashevskii, Eric Moulines, Maxim Panov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27907-27947

通用物理信息神经网络:稀疏数据的符号微分算子发现

Lena Podina, Brydon Eastman, Mohammad Kohandel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27948-27956

序列核化独立性检验

Aleksandr Podkopaev, Patrick Blöbaum, Shiva Kasiviswanathan, Aaditya Ramdas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27957-27993

蒙特卡洛强化学习中的轨迹截断

Riccardo Poiani, Alberto Maria Metelli, Marcello Restelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:27994-28042

Hyena Hierarchy:迈向更大的卷积语言模型

Michael Poli, Stefano Massaroli, Eric Nguyen, Daniel Y Fu, Tri Dao, Stephen Baccus, Yoshua Bengio, Stefano Ermon, Christopher Re; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28043-28078

神经网络的虚假山谷和聚类行为

Samuele Pollaci; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28079-28099

多样本流匹配:通过小批量耦合来校直流

Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28100-28127

最少化估计不连续最优传输图:半离散情形

Aram-Alexandre Pooladian, Vincent Divol, Jonathan Niles-Weed; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28128-28150

测试时自适应与基于槽的模型

Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28151-28166

JAWS-X:解决标准和反馈协变量偏移下共形预测的效率瓶颈

Drew Prinster, Suchi Saria, Anqi Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28167-28190

图神经网络的等变多项式

Omri Puny, Derek Lim, Bobak Kiani, Haggai Maron, Yaron Lipman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28191-28222

对比重构:以生成式预训练为指导的对比式3D表示学习

Zekun Qi, Runpei Dong, Guofan Fan, Zheng Ge, Xiangyu Zhang, Kaisheng Ma, Li Yi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28223-28243

评估生存模型的有效有意义方式

Shi-Ang Qi, Neeraj Kumar, Mahtab Farrokh, Weijie Sun, Li-Hao Kuan, Rajesh Ranganath, Ricardo Henao, Russell Greiner; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28244-28276

粗到细:用于3D分子生成的分层扩散模型

Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28277-28299

具有公平激励的协作因果推断

Rui Qiao, Xinyi Xu, Bryan Kian Hsiang Low; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28300-28320

FREDIS:一种用于不可靠部分标签学习的精炼和消歧融合框架

Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28321-28336

Nugget:文本的神经凝聚嵌入

Guanghui Qin, Benjamin Van Durme; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28337-28350

BiBench:网络二值化的基准测试和分析

Haotong Qin, Mingyuan Zhang, Yifu Ding, Aoyu Li, Zhongang Cai, Ziwei Liu, Fisher Yu, Xianglong Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28351-28388

并非所有语义都生而平等:通过自动温度个体化进行对比式自监督学习

Zi-Hao Qiu, Quanqi Hu, Zhuoning Yuan, Denny Zhou, Lijun Zhang, Tianbao Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28389-28421

最短编辑路径交叉:用于进化神经架构搜索中的排列问题的理论驱动解决方案

Xin Qiu, Risto Miikkulainen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28422-28447

通过自动特征重加权实现简单快速的群鲁棒性

Shikai Qiu, Andres Potapczynski, Pavel Izmailov, Andrew Gordon Wilson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28448-28467

双重稳健因果特征选择:DRCFS

Francesco Quinzan, Ashkan Soleymani, Patrick Jaillet, Cristian R. Rojas, Stefan Bauer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28468-28491

通过大规模弱监督实现鲁棒语音识别

Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine Mcleavey, Ilya Sutskever; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28492-28518

Shiftable Context:解决同步语音翻译中训练-推理上下文不匹配的问题

Matthew Raffel, Drew Penney, Lizhong Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28519-28530

用于临床时间序列的序列多维自监督学习

Aniruddh Raghu, Payal Chandak, Ridwan Alam, John Guttag, Collin Stultz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28531-28548

关于类为基础的最优传输的恢复界:一种和范数正则化框架

Arman Rahbar, Ashkan Panahi, Morteza Haghir Chehreghani, Devdatt Dubhashi, Hamid Krim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28549-28577

重尾SGD的一般损失函数的算法稳定性

Anant Raj, Lingjiong Zhu, Mert Gurbuzbalaban, Umut Simsekli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28578-28597

精通像素化无监督强化学习基准

Sai Rajeswar, Pietro Mazzaglia, Tim Verbelen, Alexandre Piché, Bart Dhoedt, Aaron Courville, Alexandre Lacoste; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28598-28617

SpotEM:用于情节记忆的高效视频搜索

Santhosh Kumar Ramakrishnan, Ziad Al-Halah, Kristen Grauman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28618-28636

初始化对泛化能力的影响有多大?

Sameera Ramasinghe, Lachlan Ewen Macdonald, Moshiur Farazi, Hemanth Saratchandran, Simon Lucey; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28637-28655

模型Ratatouille:回收多样化模型以实现分布外泛化

Alexandre Rame, Kartik Ahuja, Jianyu Zhang, Matthieu Cord, Leon Bottou, David Lopez-Paz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28656-28679

可学习任务空间的一瞥

Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark Transtrum, James Sethna, Pratik Chaudhari; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28680-28700

策略正则化与数据集约束用于离线强化学习

Yuhang Ran, Yi-Chen Li, Fuxiang Zhang, Zongzhang Zhang, Yang Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28701-28717

SpENCNN:通过编码和稀疏性协调以实现快速同态加密神经网络推理

Ran Ran, Xinwei Luo, Wei Wang, Tao Liu, Gang Quan, Xiaolin Xu, Caiwen Ding, Wujie Wen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28718-28728

通过中间神经崩溃进行深度分类器的特征学习

Akshay Rangamani, Marius Lindegaard, Tomer Galanti, Tomaso A Poggio; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28729-28745

折扣正则化的意外后果:在某些等价强化学习中改进正则化

Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan Murphy, Finale Doshi-Velez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28746-28767

Beam Tree递归单元

Jishnu Ray Chowdhury, Cornelia Caragea; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28768-28791

用于长度泛化的单调位置注意力

Jishnu Ray Chowdhury, Cornelia Caragea; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28792-28808

通过整数序列分析自动搜索数学常数的猜想

Ofir Razon, Yoav Harris, Shahar Gottlieb, Dan Carmon, Ofir David, Ido Kaminer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28809-28842

用SGD训练的神经网络学会了越来越复杂的分布

Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28843-28863

单纯形随机特征

Isaac Reid, Krzysztof Marcin Choromanski, Valerii Likhosherstov, Adrian Weller; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28864-28888

贝叶斯神经网络避免编码复杂和对扰动敏感的概念

Qihan Ren, Huiqi Deng, Yunuo Chen, Siyu Lou, Quanshi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28889-28913

零阶优化中逃离鞍点:两点估计器的威力

Zhaolin Ren, Yujie Tang, Na Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28914-28975

通过平滑剂进行维度无关的认证神经网络水印

Jiaxiang Ren, Yang Zhou, Jiayin Jin, Lingjuan Lyu, Da Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:28976-29008

多变量时间序列预测的特征编程

Alex Daniel Reneau, Jerry Yao-Chieh Hu, Ammar Gilani, Han Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29009-29029

通过预测改进“掉队选举”:改进确定性等价强化学习中的正则化

Keivan Rezaei, Kiarash Banihashem, Atoosa Chegini, Soheil Feizi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29030-29050

从数据中学习面向控制的动力学结构

Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, Marco Pavone; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29051-29062

正交性的边缘:BYOL成功的简单视角

Pierre Harvey Richemond, Allison Tam, Yunhao Tang, Florian Strub, Bilal Piot, Felix Hill; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29063-29081

带有私人通信的多智能体最优臂识别

Alexandre Rio, Merwan Barlier, Igor Colin, Marta Soare; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29082-29102

k-近邻的二阶段主动学习算法

Nicholas Rittler, Kamalika Chaudhuri; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29103-29129

降低子集训练的预训练成本:轻量级分布式预训练工具包

Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29130-29142

熵和重构在多视图自监督学习中的作用

Borja Rodrı́guez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29143-29160

RLang:一种用于向强化学习智能体描述部分世界知识的声明式语言

Rafael Rodriguez-Sanchez, Benjamin Adin Spiegel, Jennifer Wang, Roma Patel, Stefanie Tellex, George Konidaris; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29161-29178

改进相关性偏移下的公平训练

Yuji Roh, Kangwook Lee, Steven Euijong Whang, Changho Suh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29179-29209

用于价值估计的量化时间差学习的统计优势

Mark Rowland, Yunhao Tang, Clare Lyle, Remi Munos, Marc G Bellemare, Will Dabney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29210-29231

鲁棒满足MDP

Haolin Ruan, Siyu Zhou, Zhi Chen, Chin Pang Ho; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29232-29258

具有可重用数据排气无限动作上下文老虎机

Mark Rucker, Yinglun Zhu, Paul Mineiro; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29259-29274

神经网络中的函数空间正则化:概率视角

Tim G. J. Rudner, Sanyam Kapoor, Shikai Qiu, Andrew Gordon Wilson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29275-29290

用于改进半结构化网络性能的新PHO公式

David Rügamer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29291-29305

几何克利福德代数网络

David Ruhe, Jayesh K Gupta, Steven De Keninck, Max Welling, Johannes Brandstetter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29306-29337

约束单调神经网络

Davor Runje, Sharath M Shankaranarayana; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29338-29353

差分隐私、语言公平和训练数据影响:多语言语言模型的不可行性和可行性定理

Phillip Rust, Anders Søgaard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29354-29387

用于比较流形和图上概率分布集合的内在切片瓦瑟斯坦距离

Raif M. Rustamov, Subhabrata Majumdar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29388-29415

SWARM并行:大规模模型训练出乎意料地通信效率高

Max Ryabinin, Tim Dettmers, Michael Diskin, Alexander Borzunov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29416-29440

Hiera:一种没有花哨的分层视觉Transformer

Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29441-29454

端到端学习随机优化:概率视角

Yves Rychener, Daniel Kuhn, Tobias Sutter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29455-29472

序列蒙特卡洛学习用于时间序列结构发现

Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29473-29489

基于专家在多任务中表现的主动排名

El Mehdi Saad, Nicolas Verzelen, Alexandra Carpentier; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29490-29513

噪声模型下学习高维单纯形样本复杂度界

Seyed Amir Hossein Saberi, Amir Najafi, Abolfazl Motahari, Babak Khalaj; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29514-29541

通过样本排列上的优化进行全局对比批次选择

Vin Sachidananda, Ziyi Yang, Chenguang Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29542-29562

随机优化和变分不等式的概率界:方差无界的情况

Abdurakhmon Sadiev, Marina Danilova, Eduard Gorbunov, Samuel Horváth, Gauthier Gidel, Pavel Dvurechensky, Alexander Gasnikov, Peter Richtárik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29563-29648

具有联想记忆的端到端可微分聚类

Bishwajit Saha, Dmitry Krotov, Mohammed J Zaki, Parikshit Ram; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29649-29670

学习建议中断:长期用户参与的可持续优化

Eden Saig, Nir Rosenfeld; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29671-29696

通过近似有效 p-电阻进行多类图聚类

Shota Saito, Mark Herbster; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29697-29733

通过连词效应建模进行离策略评估,适用于大动作空间

Yuta Saito, Qingyang Ren, Thorsten Joachims; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29734-29759

重思带预测的暖启动:学习接近最优解集的预测以加速$\text{L}$-/$\text{L}^\natural$-凸函数最小化

Shinsaku Sakaue, Taihei Oki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29760-29776

PAC-Bayesian离策略上下文老虎机有保证

Otmane Sakhi, Pierre Alquier, Nicolas Chopin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29777-29799

高效、可微分、稀疏的Top-k:一个凸分析视角

Sudeep Salgia; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29800-29844

通信约束下的分布式线性老虎机

Sudeep Salgia, Qing Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29845-29875

使用共形分位数回归优化超参数

David Salinas, Jacek Golebiowski, Aaron Klein, Matthias Seeger, Cedric Archambeau; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29876-29893

提高恶意AI驱动图像编辑的成本

Hadi Salman, Alaa Khaddaj, Guillaume Leclerc, Andrew Ilyas, Aleksander Madry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29894-29918

快速、可微分、稀疏的Top-k:来自凸分析的视角

Michael Eli Sander, Joan Puigcerver, Josip Djolonga, Gabriel Peyré, Mathieu Blondel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29919-29936

TAN无需燃烧:DP-SGD的缩放定律

Tom Sander, Pierre Stock, Alexandre Sablayrolles; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29937-29949

混合模型中聚类与训练同时进行的离散-连续优化框架

Parth Vipul Sangani, Arjun Shashank Kashettiwar, Pritish Chakraborty, Bhuvan Reddy Gangula, Durga S, Ganesh Ramakrishnan, Rishabh K Iyer, Abir De; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29950-29970

语言模型反映了谁的观点?

Shibani Santurkar, Esin Durmus, Faisal Ladhak, Cinoo Lee, Percy Liang, Tatsunori Hashimoto; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:29971-30004

深度神经网络的流式主动学习

Akanksha Saran, Safoora Yousefi, Akshay Krishnamurthy, John Langford, Jordan T. Ash; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30005-30021

随机教师也是好教师

Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30022-30041

深度强化学习的后验采样

Remo Sasso, Michelangelo Conserva, Paulo Rauber; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30042-30061

图神经网络仅从图结构中恢复隐藏特征

Ryoma Sato; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30062-30079

具有两时间尺度更新规则的生成对抗网络训练的临界批次大小的存在性与估计

Naoki Sato, Hideaki Iiduka; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30080-30104

StyleGAN-T:释放 GAN 的力量,实现快速大规模文本到图像合成

Axel Sauer, Tero Karras, Samuli Laine, Andreas Geiger, Timo Aila; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30105-30118

基于多重检验校正的自适应帧率面部表情识别

Andrey Savchenko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30119-30129

具有确定性策略搜索的离策略平均奖励Actor-Critic

Naman Saxena, Subhojyoti Khastagir, Shishir Kolathaya, Shalabh Bhatnagar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30130-30203

吉布斯极坐标切片采样

Philip Schär, Michael Habeck, Daniel Rudolf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30204-30223

约束逆强化学习中的可识别性和可泛化性

Andreas Schlaginhaufen, Maryam Kamgarpour; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30224-30251

学习可表达的先验以实现神经网络中的泛化和不确定性估计

Dominik Schnaus, Jongseok Lee, Daniel Cremers, Rudolph Triebel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30252-30284

深度随机特征学习的确定性等价物和误差普遍性

Dominik Schröder, Hugo Cui, Daniil Dmitriev, Bruno Loureiro; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30285-30320

生成神经网络中物理知识的习得

Luca M. Schulze Buschoff, Eric Schulz, Marcel Binz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30321-30341

隐式神经网络表示的模态无关变分压缩

Jonathan Richard Schwarz, Jihoon Tack, Yee Whye Teh, Jaeho Lee, Jinwoo Shin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30342-30364

更大、更好、更快:以人类同等效率实现人类级别的 Atari 游戏能力

Max Schwarzer, Johan Samir Obando Ceron, Aaron Courville, Marc G Bellemare, Rishabh Agarwal, Pablo Samuel Castro; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30365-30380

深入分析深度学习不同模式下的 SGD 噪声效应

Antonio Sclocchi, Mario Geiger, Matthieu Wyart; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30381-30405

单调变分不等式的一种快速乐观方法

Michael Sedlmayer, Dang-Khoa Nguyen, Radu Ioan Bot; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30406-30438

用于协变量偏移适应的双重加权

José I. Segovia-Martín, Santiago Mazuelas, Anqi Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30439-30457

用理解人类语言的能力增强药物发现中的活性预测模型

Philipp Seidl, Andreu Vall, Sepp Hochreiter, Günter Klambauer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30458-30490

变分自编码神经网络算子

Jacob H Seidman, Georgios Kissas, George J. Pappas, Paris Perdikaris; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30491-30522

神经网络马尔可夫跳跃过程

Patrick Seifner, Ramses J Sanchez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30523-30552

具有希尔伯特空间近似学生-t过程的贝叶斯在线变化点检测

Jeremy Sellier, Petros Dellaportas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30553-30569

具有线性上下文和组合动作的探索激励

Mark Sellke; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30570-30583

可解释性即统计推断

Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen, Pierre-Alexandre Mattei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30584-30612

用于机器人操作的视觉的多视图掩码世界模型

Younggyo Seo, Junsu Kim, Stephen James, Kimin Lee, Jinwoo Shin, Pieter Abbeel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30613-30632

使用 Bits-Back 编码进行一次性压缩大型边可交换图

Daniel Severo, James Townsend, Ashish J Khisti, Alireza Makhzani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30633-30645

ModelDiff:一个比较学习算法的框架

Harshay Shah, Sung Min Park, Andrew Ilyas, Aleksander Madry; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30646-30688

辅助学习作为不对称议价博弈

Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30689-30705

合成提示:为大型语言模型生成思维链演示

Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30706-30775

多智能体强化学习的互补注意力

Jianzhun Shao, Hongchang Zhang, Yun Qu, Chang Liu, Shuncheng He, Yuhang Jiang, Xiangyang Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30776-30793

无正则化的可微分时间对齐网络

Ron Shapira Weber, Oren Freifeld; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30794-30826

面向高效基于梯度的值估计

Arsalan Sharifnassab, Richard S. Sutton; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30827-30849

无学习率的基于梯度的贝叶斯推断:硬币采样

Louis Sharrock, Christopher Nemeth; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30850-30882

生成模型概率路径的动力学最优性

Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30883-30907

通过向后置信序列进行顺序变化点检测

Shubhanshu Shekhar, Aaditya Ramdas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30908-30930

Rao-Blackwell化直通式Gumbel-Softmax梯度估计的冷分析

Alexander Shekhovtsov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30931-30955

迈向理解和改进GFlowNet训练

Max W Shen, Emmanuel Bengio, Ehsan Hajiramezanali, Andreas Loukas, Kyunghyun Cho, Tommaso Biancalani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30956-30975

关于无监督多源无数据域适应中的偏差与方差平衡

Maohao Shen, Yuheng Bu, Gregory W. Wornell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30976-30991

关于基于惩罚的双层梯度下降方法

Han Shen, Tianyi Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:30992-31015

用于时间序列预测的非自回归条件扩散模型

Lifeng Shen, James Kwok; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31016-31029

跨模态微调:先对齐再精炼

Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31030-31056

带广义课程蒸馏的辅助模态学习

Yu Shen, Xijun Wang, Peng Gao, Ming Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31057-31076

TGRL:教师引导强化学习算法

Idan Shenfeld, Zhang-Wei Hong, Aviv Tamar, Pulkit Agrawal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31077-31093

FlexGen:单 GPU 实现高吞吐量大型语言模型生成推理

Ying Sheng, Lianmin Zheng, Binhang Yuan, Zhuohan Li, Max Ryabinin, Beidi Chen, Percy Liang, Christopher Re, Ion Stoica, Ce Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31094-31116

具有线性函数逼近的有效在线强化学习的遗憾改进

Uri Sherman, Tomer Koren, Yishay Mansour; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31117-31150

两层自编码器的基本极限及其通过梯度方法实现

Aleksandr Shevchenko, Kevin Kögler, Hamed Hassani, Marco Mondelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31151-31209

大型语言模型很容易被不相关上下文所分心

Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31210-31227

针对检索的每个人的偏好变化都不同:一个加权多兴趣模型

Hui Shi, Yupeng Gu, Yitong Zhou, Bo Zhao, Sicun Gao, Jishen Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31228-31242

对瞬时硬约束下的安全强化学习的近最优算法

Ming Shi, Yingbin Liang, Ness Shroff; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31243-31268

改进分散式联邦学习的模型一致性

Yifan Shi, Li Shen, Kang Wei, Yan Sun, Bo Yuan, Xueqian Wang, Dacheng Tao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31269-31291

UPop:用于压缩视觉-语言 Transformer 的统一且渐进式的修剪

Dachuan Shi, Chaofan Tao, Ying Jin, Zhendong Yang, Chun Yuan, Jiaqi Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31292-31311

具有多分辨率卷积内存的序列建模

Jiaxin Shi, Ke Alexander Wang, Emily Fox; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31312-31327

具有延迟反馈的多臂老虎机统计学习

Lei Shi, Jingshen Wang, Tianhao Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31328-31352

来自扰动数据源的可证明高效离线强化学习

Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31353-31388

贝叶斯泛化的复杂度

Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31389-31407

从逆最优传输角度理解和泛化对比学习

Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31408-31421

长视界温度缩放

Andy Shih, Dorsa Sadigh, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31422-31434

梯度下降在神经网络中作为再生核巴拿赫空间中的序列学习

Alistair Shilton, Sunil Gupta, Santu Rana, Svetha Venkatesh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31435-31488

SNeRL:用于强化学习的语义感知神经辐射场

Dongseok Shim, Seungjae Lee, H. Jin Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31489-31503

对概念瓶颈模型干预过程的更深入了解

Sungbin Shin, Yohan Jo, Sungsoo Ahn, Namhoon Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31504-31520

MetricGAN-OKD:通过在线知识蒸馏优化MetricGAN的多个指标,用于语音增强

Wooseok Shin, Byung Hoon Lee, Jin Sob Kim, Hyun Joon Park, Sung Won Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31521-31538

通过最佳竞争性分析改进带学习的在线算法用于多选项滑雪者问题

Yongho Shin, Changyeol Lee, Gukryeol Lee, Hyung-Chan An; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31539-31561

通过多模态技能进行非平稳环境中的一次性模仿

Sangwoo Shin, Daehee Lee, Minjong Yoo, Woo Kyung Kim, Honguk Woo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31562-31578

用于时间序列中标签稀疏性的上下文一致性正则化

Yooju Shin, Susik Yoon, Hwanjun Song, Dongmin Park, Byunghyun Kim, Jae-Gil Lee, Byung Suk Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31579-31595

面向分布外运动预测的生成因果表示学习

Shayan Shirahmad Gale Bagi, Zahra Gharaee, Oliver Schulte, Mark Crowley; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31596-31612

Exphormer:用于图的稀疏 Transformer

Hamed Shirzad, Ameya Velingker, Balaji Venkatachalam, Danica J. Sutherland, Ali Kemal Sinop; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31613-31632

模型选择的合成数据

Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Matan Fintz, Gerard Medioni; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31633-31656

用于事件序列的概率注意力-影响神经网络模型

Xiao Shou, Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Oktie Hassanzadeh, Kristin Bennett; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31657-31674

拟马尔可夫图中的因果界限

Madhumitha Shridharan, Garud Iyengar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31675-31692

用于代码大型语言模型的存储库级别提示生成

Disha Shrivastava, Hugo Larochelle, Daniel Tarlow; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31693-31715

CLIPood:将CLIP泛化到分布外

Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31716-31731

半自回归能量流:探索无似然概率的规范流训练

Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31732-31753

揭示火星洞察:有限数据下的无监督源分离

Ali Siahkoohi, Rudy Morel, Maarten V. De Hoop, Erwan Allys, Gregory Sainton, Taichi Kawamura; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31754-31772

深度信念网络的可量化通用逼近界

Julian Sieber, Johann Gehringer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31773-31787

实验设计的定价:因果效应、预期收入和尾部风险

David Simchi-Levi, Chonghuan Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31788-31799

异质分布移位下的统计学习

Max Simchowitz, Anurag Ajay, Pulkit Agrawal, Akshay Krishnamurthy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31800-31851

关于自监督学习的阶梯式性质

James B Simon, Maksis Knutins, Liu Ziyin, Daniel Geisz, Abraham J Fetterman, Joshua Albrecht; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31852-31876

具有外源输入的 Hindsight 学习 MDP

Sean R. Sinclair, Felipe Vieira Frujeri, Ching-An Cheng, Luke Marshall, Hugo De Oliveira Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31877-31914

文本到 4D 动态场景生成

Uriel Singer, Shelly Sheynin, Adam Polyak, Oron Ashual, Iurii Makarov, Filippos Kokkinos, Naman Goyal, Andrea Vedaldi, Devi Parikh, Justin Johnson, Yaniv Taigman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31915-31929

卷积神经网络性质的 Hessian 视角

Sidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31930-31968

最小最大公平学习与经验风险最小化何时一致?

Harvineet Singh, Matthäus Kleindessner, Volkan Cevher, Rumi Chunara, Chris Russell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31969-31989

差分模拟用于稀有事件的增强采样

Martin Sipka, Johannes C. B. Dietschreit, Lukáš Grajciar, Rafael Gomez-Bombarelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:31990-32007

预处理器很重要!对机器学习系统的现实决策攻击

Chawin Sitawarin, Florian Tramèr, Nicholas Carlini; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32008-32032

策略优化中的不变性与奖励学习中的部分可识别性

Joar Max Viktor Skalse, Matthew Farrugia-Roberts, Stuart Russell, Alessandro Abate, Adam Gleave; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32033-32058

管理多智能体系统中风险的博弈论框架

Oliver Slumbers, David Henry Mguni, Stefano B Blumberg, Stephen Marcus Mcaleer, Yaodong Yang, Jun Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32059-32087

关于离线强化学习在对话响应生成中的有效性

Paloma Sodhi, Felix Wu, Ethan R. Elenberg, Kilian Q Weinberger, Ryan Mcdonald; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32088-32104

通过提升指数族充分统计量的混合量来获得公平密度

Alexander Soen, Hisham Husain, Richard Nock; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32105-32144

深度强化学习中的休眠神经元现象

Ghada Sokar, Rishabh Agarwal, Pablo Samuel Castro, Utku Evci; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32145-32168

抽象掉两人零和博弈中的不完美信息

Samuel Sokota, Ryan D’Orazio, Chun Kai Ling, David J Wu, J Zico Kolter, Noam Brown; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32169-32193

Meta-SAGE:通过引导式探索进行尺度元学习计划自适应,以减轻组合优化上的尺度偏移

Jiwoo Son, Minsu Kim, Hyeonah Kim, Jinkyoo Park; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32194-32210

一致性模型

Yang Song, Prafulla Dhariwal, Mark Chen, Ilya Sutskever; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32211-32252

LipsNet:一种具有自适应 Lipschitz 常数的平滑鲁棒神经网络,用于高精度最优控制

Xujie Song, Jingliang Duan, Wenxuan Wang, Shengbo Eben Li, Chen Chen, Bo Cheng, Bo Zhang, Junqing Wei, Xiaoming Simon Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32253-32272

深度扰动学习:通过图像扰动增强网络性能

Zifan Song, Xiao Gong, Guosheng Hu, Cairong Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32273-32287

生成模型中的潜在遍历作为势流

Yue Song, T. Anderson Keller, Nicu Sebe, Max Welling; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32288-32303

对于过参数化的多层神经网络,FedAvg线性收敛到零训练损失

Bingqing Song, Prashant Khanduri, Xinwei Zhang, Jinfeng Yi, Mingyi Hong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32304-32330

RGE:通过影响进行节点分类的排斥图校正

Jaeyun Song, Sungyub Kim, Eunho Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32331-32348

用于蛋白质序列设计的权重期望最大化

Zhenqiao Song, Lei Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32349-32364

一阶方法的草图:低带宽信道和脆弱性的高效算法

Zhao Song, Yitan Wang, Zheng Yu, Lichen Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32365-32417

草图遇见差分隐私:动态克罗内克投影维护的快速算法

Zhao Song, Xin Yang, Yuanyuan Yang, Lichen Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32418-32462

用于具有 $\ell_∞$ 保证的快速回归的近乎最优界

Zhao Song, Mingquan Ye, Junze Yin, Lichen Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32463-32482

用于即插即用可控生成设计的损失引导扩散模型

Jiaming Song, Qinsheng Zhang, Hongxu Yin, Morteza Mardani, Ming-Yu Liu, Jan Kautz, Yongxin Chen, Arash Vahdat; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32483-32498

可微分树操作促进组合泛化

Paul Soulos, Edward J Hu, Kate Mccurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32499-32520

半监督学习中的标签是否信息丰富?缺失数据机制的估计和利用。

Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32521-32539

通过干预进行线性因果解耦

Chandler Squires, Anna Seigal, Salil S Bhate, Caroline Uhler; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32540-32560

为教授物理控制任务生成语言修正

Megha Srivastava, Noah Goodman, Dorsa Sadigh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32561-32574

FaDIn:用于具有一般参数核的霍克斯过程的快速离散化推理

Guillaume Staerman, Cédric Allain, Alexandre Gramfort, Thomas Moreau; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32575-32597

三次相关聚类的部分最优性

David Stein, Silvia Di Gregorio, Bjoern Andres; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32598-32617

MODeL:深度学习的内存优化

Benoit Steiner, Mostafa Elhoushi, Jacob Kahn, James Hegarty; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32618-32632

通过共形预测改进专家预测

Eleni Straitouri, Lequn Wang, Nastaran Okati, Manuel Gomez Rodriguez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32633-32653

在流式神经换能器中,查看与因果无关的变换器

Grant Strimel, Yi Xie, Brian John King, Martin Radfar, Ariya Rastrow, Athanasios Mouchtaris; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32654-32676

核QuantTree

Diego Stucchi, Paolo Rizzo, Nicolò Folloni, Giacomo Boracchi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32677-32697

通过持久性条码的诱导匹配实现拓扑保真度图像分割

Nico Stucki, Johannes C. Paetzold, Suprosanna Shit, Bjoern Menze, Ulrich Bauer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32698-32727

迈向演进图上的鲁棒图增量学习

Junwei Su, Difan Zou, Zijun Zhang, Chuan Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32728-32748

DUET:二维结构化和近似等变表示

Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32749-32769

通过潜在特征与真实标签之间的互信息最大化进行长尾识别

Min-Kook Suh, Seung-Woo Seo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32770-32782

对抗性学习分布强化学习

Yang Sui, Yukun Huang, Hongtu Zhu, Fan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32783-32796

将互联网规模的视觉-语言模型蒸馏到具身智能体

Theodore Sumers, Kenneth Marino, Arun Ahuja, Rob Fergus, Ishita Dasgupta; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32797-32818

向量值控制变量

Zhuo Sun, Alessandro Barp, Francois-Xavier Briol; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32819-32846

MetaModulation:通过更少的任务学习变分特征层次以进行少样本学习

Wenfang Sun, Yingjun Du, Xiantong Zhen, Fan Wang, Ling Wang, Cees G. M. Snoek; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32847-32858

重新审视组合优化中的采样

Haoran Sun, Katayoon Goshvadi, Azade Nova, Dale Schuurmans, Hanjun Dai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32859-32874

什么是实体相似?从相似性泛洪角度看多源知识图嵌入

Zequn Sun, Jiacheng Huang, Xiaozhou Xu, Qijin Chen, Weijun Ren, Wei Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32875-32885

最大最优性裕度:上下文线性规划和逆向线性规划的统一方法

Chunlin Sun, Shang Liu, Xiaocheng Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32886-32912

张量高斯过程与收缩用于多通道成像分析

Hu Sun, Ward Manchester, Meng Jin, Yang Liu, Yang Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32913-32935

MABe22:多物种多任务基准测试,用于学习行为表示

Jennifer J. Sun, Markus Marks, Andrew Wesley Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian Morgan Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32936-32990

联邦学习中的动态正则化锐度感知最小化:趋近全局一致性和平滑景观

Yan Sun, Li Shen, Shixiang Chen, Liang Ding, Dacheng Tao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:32991-33013

已知类别何时以及如何帮助发现未知类别?通过谱分析的证明性理解

Yiyou Sun, Zhenmei Shi, Yingyu Liang, Yixuan Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33014-33043

学习可支配的ReLU网络

Wei Sun, Asterios Tsiourvas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33044-33060

所有排成一行:用于图的压缩卷积网络

Junshu Sun, Shuhui Wang, Xinzhe Han, Zhe Xue, Qingming Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33061-33076

动量确保SIGNSGD在更弱假设下的收敛

Tao Sun, Qingsong Wang, Dongsheng Li, Bao Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33077-33099

通过扩散驱动的净化,对3D点云识别中的对抗鲁棒性进行关键性审视

Jiachen Sun, Jiongxiao Wang, Weili Nie, Zhiding Yu, Zhuoqing Mao, Chaowei Xiao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33100-33114

SDDM:用于无配对图像到图像翻译的流形上的得分分解扩散模型

Shikun Sun, Longhui Wei, Junliang Xing, Jia Jia, Qi Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33115-33134

具有时间模板建模的神经PDE求解器

Zhiqing Sun, Yiming Yang, Shinjae Yoo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33135-33155

图神经网络的特征扩展

Jiaqi Sun, Lin Zhang, Guangyi Chen, Peng Xu, Kun Zhang, Yujiu Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33156-33176

模型化的贝尔曼不一致用于基于模型的离线强化学习

Yihao Sun, Jiaji Zhang, Chengxing Jia, Haoxin Lin, Junyin Ye, Yang Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33177-33194

机器学习中的流入、流出和互惠

Mukund Sundararajan, Walid Krichene; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33195-33208

何时个性化会损害绩效:重新考虑在预测中使用群体属性

Vinith Menon Suriyakumar, Marzyeh Ghassemi, Berk Ustun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33209-33228

通过奖励调整计算机视觉模型

André Susano Pinto, Alexander Kolesnikov, Yuge Shi, Lucas Beyer, Xiaohua Zhai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33229-33239

通过多级蒙特卡洛演员-评论家算法,克服平均奖励强化学习中的指数级快速混合

Wesley A Suttle, Amrit Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33240-33267

度量空间中图嵌入的紧凑和快速泛化误差界

Atsushi Suzuki, Atsushi Nitanda, Taiji Suzuki, Jing Wang, Feng Tian, Kenji Yamanishi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33268-33284

近因果学习条件平均处理效应

Erik Sverdrup, Yifan Cui; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33285-33298

无强化学习的逆强化学习

Gokul Swamy, David Wu, Sanjiban Choudhury, Drew Bagnell, Steven Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33299-33318

冯·米塞斯混合分布用于分子构象生成

Kirk Swanson, Jake Lawrence Williams, Eric M Jonas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33319-33342

重复嵌套期望的最优随机多级蒙特卡洛

Yasa Syed, Guanyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33343-33364

社会具身重排中的自适应协调

Andrew Szot, Unnat Jain, Dhruv Batra, Zsolt Kira, Ruta Desai, Akshara Rai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33365-33380

MG-GNN:用于学习多级域分解方法的多网格图神经网络

Ali Taghibakhshi, Nicolas Nytko, Tareq Uz Zaman, Scott Maclachlan, Luke Olson, Matthew West; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33381-33395

具有审查数据的混合高斯模型学习

Wai Ming Tai, Bryon Aragam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33396-33415

变压器对具有无限维输入的序列到序列函数的逼近和估计能力

Shokichi Takakura, Taiji Suzuki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33416-33447

通过参数引导通道注意力学习神经PDE求解器

Makoto Takamoto, Francesco Alesiani, Mathias Niepert; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33448-33467

上下文保守交错老虎机

Kei Takemura; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33468-33489

具有更紧积分后悔界的随机高斯过程上置信界

Shion Takeno, Yu Inatsu, Masayuki Karasuyama; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33490-33515

面向少样本学习的偏好贝叶斯优化:具有倾斜高斯过程的实用方法

Shion Takeno, Masahiro Nomura, Masayuki Karasuyama; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33516-33533

鲁棒性解释:免费或以忠实度为代价

Zeren Tan, Yang Tian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33534-33562

无需领域信息即可进行可证明的不变学习

Xiaoyu Tan, Lin Yong, Shengyu Zhu, Chao Qu, Xihe Qiu, Xu Yinghui, Peng Cui, Yuan Qi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33563-33580

大规模机器学习的关系计算的自动微分

Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33581-33598

极大规模博弈的遗憾最小化双Oracle

Xiaohang Tang, Le Cong Dinh, Stephen Marcus Mcaleer, Yaodong Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33599-33615

从感知到程序:正则化、过度参数化和均摊

Hao Tang, Kevin Ellis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33616-33631

理解用于强化学习的自预测学习

Yunhao Tang, Zhaohan Daniel Guo, Pierre Harvey Richemond, Bernardo Avila Pires, Yash Chandak, Remi Munos, Mark Rowland, Mohammad Gheshlaghi Azar, Charline Le Lan, Clare Lyle, András György, Shantanu Thakoor, Will Dabney, Bilal Piot, Daniele Calandriello, Michal Valko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33632-33656

DoMo-AC:双多步离策略演员-评论家算法

Yunhao Tang, Tadashi Kozuno, Mark Rowland, Anna Harutyunyan, Remi Munos, Bernardo Avila Pires, Michal Valko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33657-33673

走向理解图神经网络的泛化

Huayi Tang, Yong Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33674-33719

对TD学习下的表示动力学进行更好的理解

Yunhao Tang, Remi Munos; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33720-33738

VA学习作为Q学习的更有效替代方案

Yunhao Tang, Remi Munos, Mark Rowland, Michal Valko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33739-33757

卷积解码器网络在频率表示中的缺陷

Ling Tang, Wen Shen, Zhanpeng Zhou, Yuefeng Chen, Quanshi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33758-33791

差异中的差异遇见基于树的方法:具有不可测量混淆因素的异质处理效应估计

Caizhi Tang, Huiyuan Wang, Xinyu Li, Qing Cui, Longfei Li, Jun Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33792-33803

通过无偏对比发散和局部模式初始化实现深度玻尔兹曼机的端到端训练

Shohei Taniguchi, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33804-33815

POUF:用于大型预训练模型的面向提示的无监督微调

Korawat Tanwisuth, Shujian Zhang, Huangjie Zheng, Pengcheng He, Mingyuan Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33816-33832

用于校准的双焦点损失

Linwei Tao, Minjing Dong, Chang Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33833-33849

从抽象到可执行轨迹的翻译,用于单次任务泛化

Stone Tao, Xiaochen Li, Tongzhou Mu, Zhiao Huang, Yuzhe Qin, Hao Su; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33850-33882

数据反馈循环:模型驱动的数据集偏差放大

Rohan Taori, Tatsunori Hashimoto; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33883-33920

深度回归卸载

Ayush Kumar Tarun, Vikram Singh Chundawat, Murari Mandal, Mohan Kankanhalli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33921-33939

如何信任您的扩散模型:一种基于凸优化的共形风险控制方法

Jacopo Teneggi, Matthew Tivnan, Web Stayman, Jeremias Sulam; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33940-33960

并发洗牌差分隐私在持续观察下的保护

Jay Tenenbaum, Haim Kaplan, Yishay Mansour, Uri Stemmer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33961-33982

通过对比信号和噪声来寻找泛化度量

Jiaye Teng, Bohang Zhang, Ruichen Li, Haowei He, Yequan Wang, Yan Tian, Yang Yuan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:33983-34010

具有历史依赖动态上下文的强化学习

Guy Tennenholtz, Nadav Merlis, Lior Shani, Martin Mladenov, Craig Boutilier; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34011-34053

PWSHAP:用于目标变量的路径感知解释模型

Lucile Ter-Minassian, Oscar Clivio, Karla Diazordaz, Robin J. Evans, Christopher C. Holmes; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34054-34089

高斯混合联结模型估计

Ashutosh Tewari; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34090-34104

面向单次任务适应的目标感知生成增强

Kowshik Thopalli, Rakshith Subramanyam, Pavan K. Turaga, Jayaraman J. Thiagarajan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34105-34119

ELSA:通过半参数模型视角实现高效标签偏移适应

Qinglong Tian, Xin Zhang, Jiwei Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34120-34142

用于正交解耦高斯过程的球面诱导特征

Louis C. Tiao, Vincent Dutordoir, Victor Picheny; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34143-34160

最大熵探索的快速速率

Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Remi Munos, Alexey Naumov, Pierre Perrault, Yunhao Tang, Michal Valko, Pierre Menard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34161-34221

基于裕度的采样在高维空间中:主动比被动效率低

Alexandru Tifrea, Jacob Clarysse, Fanny Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34222-34262

可微分多目标因果贝叶斯实验设计

Panagiotis Tigas, Yashas Annadani, Desi R. Ivanova, Andrew Jesson, Yarin Gal, Adam Foster, Stefan Bauer; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34263-34279

基于PCA的多任务学习:一种随机矩阵方法

Malik Tiomoko, Romain Couillet, Frederic Pascal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34280-34300

神经坍塌的扰动分析

Tom Tirer, Haoxiang Huang, Jonathan Niles-Weed; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34301-34329

使用特征筛网克服深度网络的简单性偏差

Rishabh Tiwari, Pradeep Shenoy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34330-34343

超越域内场景:鲁棒密度感知校准

Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34344-34368

分布无关的域泛化

Peifeng Tong, Wu Su, He Li, Jialin Ding, Zhan Haoxiang, Song Xi Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34369-34378

通过对偶化扩展核PCA:稀疏性、鲁棒性和快速算法

Francesco Tonin, Alex Lambert, Panagiotis Patrinos, Johan Suykens; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34379-34393

具有变分自编码器的鲁棒弱监督

Francesco Tonolini, Nikolaos Aletras, Yunlong Jiao, Gabriella Kazai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34394-34408

具有潜在稀疏高斯过程的完全贝叶斯自编码器

Ba-Hien Tran, Babak Shahbaba, Stephan Mandt, Maurizio Filippone; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34409-34430

离散键值瓶颈

Frederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34431-34455

模仿自注意力层的初始化

Asher Trockman, J Zico Kolter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34456-34468

表示点选择用于解释正则化高维模型

Che-Ping Tsai, Jiong Zhang, Hsiang-Fu Yu, Eli Chien, Cho-Jui Hsieh, Pradeep Kumar Ravikumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34469-34490

Maxout网络的期望梯度及其对参数初始化的影响

Hanna Tseran, Guido Montufar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34491-34532

可证明的用于高效神经网络训练的数据子集选择

Murad Tukan, Samson Zhou, Alaa Maalouf, Daniela Rus, Vladimir Braverman, Dan Feldman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34533-34555

跳跃式强化学习

Ikechukwu Uchendu, Ted Xiao, Yao Lu, Banghua Zhu, Mengyuan Yan, Joséphine Simon, Matthew Bennice, Chuyuan Fu, Cong Ma, Jiantao Jiao, Sergey Levine, Karol Hausman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34556-34583

子模块化顺序函数和组合优化

Rajan Udwani; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34584-34614

计算效率高的PAC强化学习在POMDPs中具有潜在确定性和条件嵌入

Masatoshi Uehara, Ayush Sekhari, Jason D. Lee, Nathan Kallus, Wen Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34615-34641

从自适应查询释放到机器遗忘

Enayat Ullah, Raman Arora; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34642-34667

具有自动调谐压缩的隐私联邦学习

Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34668-34708

Monge Gap:一个学习所有输运图的正则化器

Théo Uscidda, Marco Cuturi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34709-34733

半对偶非平衡二次最优输运:快速统计率和收敛算法。

Adrien Vacher, François-Xavier Vialard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34734-34758

用于参数化偏微分方程的随机网格神经过程

Arnaud Vadeboncoeur, Ieva Kazlauskaite, Yanni Papandreou, Fehmi Cirak, Mark Girolami, Omer Deniz Akyildiz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34759-34778

核赌博机中的延迟反馈

Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34779-34792

合成数据,真实错误:如何(不)发布和使用合成数据

Boris Van Breugel, Zhaozhi Qian, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34793-34808

在线分类中通过付费随机专家权衡支付和准确性

Dirk Van Der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34809-34830

因果等渗校准用于异质性处理效应

Lars Van Der Laan, Ernesto Ulloa-Perez, Marco Carone, Alex Luedtke; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34831-34854

在学习预测随时间变化的处理结果时考虑信息性采样

Toon Vanderschueren, Alicia Curth, Wouter Verbeke, Mihaela Van Der Schaar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34855-34874

多智能体多臂赌博机中的最佳臂识别

Filippo Vannella, Alexandre Proutiere, Jaeseong Jeong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34875-34907

条件树匹配用于树预测模型的推理时自适应

Harshit Varma, Abhijeet Awasthi, Sunita Sarawagi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34908-34923

用于超图社区恢复的最优LP近似和线性时间近似算法

Nate Veldt; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34924-34951

二元矩阵分解的快速$(1+\varepsilon)$-近似算法

Ameya Velingker, Maximilian Vötsch, David Woodruff, Samson Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34952-34977

基于模型的强化学习中的“懒惰”美德:统一目标和算法

Anirudh Vemula, Yuda Song, Aarti Singh, Drew Bagnell, Sanjiban Choudhury; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:34978-35005

用于多层图半监督学习的数据驱动层聚合策略:学习正确的层

Sara Venturini, Andrea Cristofari, Francesco Rinaldi, Francesco Tudisco; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35006-35023

多环境预训练实现对动作受限数据集的迁移

David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35024-35036

AbODE:使用共轭 ODE 的从头抗体设计

Yogesh Verma, Markus Heinonen, Vikas Garg; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35037-35050

TabLeak:联邦学习中的表格数据泄露

Mark Vero, Mislav Balunovic, Dimitar Iliev Dimitrov, Martin Vechev; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35051-35083

在展开的计算图中通过ES-Single实现低方差梯度估计

Paul Vicol; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35084-35119

算术采样:大型语言模型的并行多样化解码

Luke Vilnis, Yury Zemlyanskiy, Patrick Murray, Alexandre Tachard Passos, Sumit Sanghai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35120-35136

最终折扣时间逻辑反事实经验回放

Cameron Voloshin, Abhinav Verma, Yisong Yue; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35137-35150

Transformer 通过梯度下降学习上下文

Johannes Von Oswald, Eyvind Niklasson, Ettore Randazzo, Joao Sacramento, Alexander Mordvintsev, Andrey Zhmoginov, Max Vladymyrov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35151-35174

多尺度拓扑奇异性检测

Julius von Rohrscheidt, Bastian Rieck; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35175-35197

通过利用箱约束的随机平滑来提高 $l_1$ 认证鲁棒性

Vaclav Voracek, Matthias Hein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35198-35222

向量量化 Wasserstein 自编码器

Long Tung Vuong, Trung Le, He Zhao, Chuanxia Zheng, Mehrtash Harandi, Jianfei Cai, Dinh Phung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35223-35242

竞争性梯度优化

Abhijeet Vyas, Brian Bullins, Kamyar Azizzadenesheli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35243-35276

关于生成模型的可证明版权保护

Nikhil Vyas, Sham M. Kakade, Boaz Barak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35277-35299

利用离线数据进行在线强化学习

Andrew Wagenmaker, Aldo Pacchiano; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35300-35338

通过局部敏感量化实现快速私有核密度估计

Tal Wagner, Yonatan Naamad, Nina Mishra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35339-35367

研究基于模型的学习在探索和迁移中的作用

Jacob C Walker, Eszter Vértes, Yazhe Li, Gabriel Dulac-Arnold, Ankesh Anand, Theophane Weber, Jessica B Hamrick; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35368-35383

UPSCALE:无约束通道剪枝

Alvin Wan, Hanxiang Hao, Kaushik Patnaik, Yueyang Xu, Omer Hadad, David Güera, Zhile Ren, Qi Shan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35384-35412

在指令调整期间毒化语言模型

Alexander Wan, Eric Wallace, Sheng Shen, Dan Klein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35413-35425

SeMAIL:通过分离模型消除视觉模仿中的干扰项

Shenghua Wan, Yucen Wang, Minghao Shao, Ruying Chen, De-Chuan Zhan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35426-35443

乘数引导探索

Runzhe Wan, Haoyu Wei, Branislav Kveton, Rui Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35444-35490

对偶多线性DR-子模块最大化及其在对抗性子模块赌博机上的应用

Zongqi Wan, Jialin Zhang, Wei Chen, Xiaoming Sun, Zhijie Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35491-35524

单遍流式多臂赌博机的严格遗憾界

Chen Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35525-35547

通过Lasso改进主动多任务表示学习

Yiping Wang, Yifang Chen, Kevin Jamieson, Simon Shaolei Du; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35548-35578

倾斜稀疏加性模型

Yingjie Wang, Hong Chen, Weifeng Liu, Fengxiang He, Tieliang Gong, Youcheng Fu, Dacheng Tao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35579-35604

从超图能量函数到超图神经网络

Yuxin Wang, Quan Gan, Xipeng Qiu, Xuanjing Huang, David Wipf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35605-35623

更仔细地审视自监督轻量级视觉Transformer

Shaoru Wang, Jin Gao, Zeming Li, Xiaoqin Zhang, Weiming Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35624-35641

PreNAS:倾向于高效神经网络架构搜索的单次学习

Haibin Wang, Ce Ge, Hesen Chen, Xiuyu Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35642-35654

对抗策略超越超人类围棋AI

Tony Tong Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35655-35739

关于带标签约束的正则化和推理

Kaifu Wang, Hangfeng He, Tin D. Nguyen, Piyush Kumar, Dan Roth; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35740-35762

带全局收敛保证的鲁棒MDP中的策略梯度

Qiuhao Wang, Chin Pang Ho, Marek Petrik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35763-35797

脉冲神经网络的自适应平滑梯度学习

Ziming Wang, Runhao Jiang, Shuang Lian, Rui Yan, Huajin Tang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35798-35816

CircuitNet:一个用于实现通用电路基序建模的通用神经网络

Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35817-35835

带动量的投影张量幂法用于一阶优化

Xiaoyu Wang, Mikael Johansson, Tong Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35836-35863

具有CVaR的近乎最优风险敏感强化学习

Kaiwen Wang, Nathan Kallus, Wen Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35864-35907

FedHPO-Bench:用于联邦超参数优化的基准套件

Zhen Wang, Weirui Kuang, Ce Zhang, Bolin Ding, Yaliang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35908-35948

带协变量自适应随机化的网络数据A/B测试

Jialu Wang, Ping Li, Feifang Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35949-35969

用于部分可观察深度强化学习的置信表示学习

Andrew Wang, Andrew C Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. Mcilraith; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35970-35988

热启动Actor-Critic:从近似误差到次优差距

Hang Wang, Sen Lin, Junshan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:35989-36019

Slot-VAE:基于对象注意力的对象中心场景生成

Yanbo Wang, Letao Liu, Justin Dauwels; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36020-36035

DIVISION:通过双激活精度实现内存高效训练

Guanchu Wang, Zirui Liu, Zhimeng Jiang, Ninghao Liu, Na Zou, Xia Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36036-36057

CocktailSGD:在500Mbps网络上对基础模型进行微调

Jue Wang, Yucheng Lu, Binhang Yuan, Beidi Chen, Percy Liang, Christopher De Sa, Christopher Re, Ce Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36058-36076

Magneto:一个基础Transformer

Hongyu Wang, Shuming Ma, Shaohan Huang, Li Dong, Wenhui Wang, Zhiliang Peng, Yu Wu, Payal Bajaj, Saksham Singhal, Alon Benhaim, Barun Patra, Zhun Liu, Vishrav Chaudhary, Xia Song, Furu Wei; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36077-36092

Lipschitz有界深度网络的直接参数化

Ruigang Wang, Ian Manchester; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36093-36110

来自超样本的更严格信息论泛化界

Ziqiao Wang, Yongyi Mao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36111-36137

NP-SemiSeg:神经过程与半监督语义分割的相遇

Jianfeng Wang, Daniela Massiceti, Xiaolin Hu, Vladimir Pavlovic, Thomas Lukasiewicz; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36138-36156

GC-Flow:用于有效聚类的基于图的流网络

Tianchun Wang, Farzaneh Mirzazadeh, Xiang Zhang, Jie Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36157-36173

跨多个环境的课程解耦表示学习用于社交推荐

Xin Wang, Zirui Pan, Yuwei Zhou, Hong Chen, Chendi Ge, Wenwu Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36174-36192

数据高效神经缩放定律通过模型复用

Peihao Wang, Rameswar Panda, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36193-36204

深度时间集与证据强化注意力用于独特的行为模式发现

Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36205-36223

基于主动学习的结构推断

Aoran Wang, Jun Pang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36224-36245

更好的扩散模型进一步改进了对抗训练

Zekai Wang, Tianyu Pang, Chao Du, Min Lin, Weiwei Liu, Shuicheng Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36246-36263

极性对加速学习和迁移至关重要

Qingyang Wang, Michael Alan Powell, Eric W Bridgeford, Ali Geisa, Joshua T Vogelstein; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36264-36284

用于超图社区恢复的投影张量幂法

Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36285-36307

通过调整估计潜在变量的可行因果效应

Tian-Zuo Wang, Tian Qin, Zhi-Hua Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36308-36335

InfoDiffusion:使用信息最大化扩散模型进行表示学习

Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36336-36354

检验顺序决策中的平稳性假设的稳健方法

Jitao Wang, Chengchun Shi, Zhenke Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36355-36379

GEAR:用于大型强化学习模型的 GPU 中心体验回放系统

Hanjing Wang, Man-Kit Sit, Congjie He, Ying Wen, Weinan Zhang, Jun Wang, Yaodong Yang, Luo Mai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36380-36390

有效且高效的基于储层计算的结构推断

Aoran Wang, Tsz Pan Tong, Jun Pang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36391-36410

通过拟度量学习实现最优目标达成强化学习

Tongzhou Wang, Antonio Torralba, Phillip Isola, Amy Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36411-36430

无模型鲁棒平均奖励强化学习

Yue Wang, Alvaro Velasquez, George K. Atia, Ashley Prater-Bennette, Shaofeng Zou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36431-36469

活在当下:学习适应不断变化的策略的动态模型

Xiyao Wang, Wichayaporn Wongkamjan, Ruonan Jia, Furong Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36470-36493

在有预算的情况下学习重复第一价格拍卖中的出价

Qian Wang, Zongjun Yang, Xiaotie Deng, Yuqing Kong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36494-36513

网络效应对产品性能预测博弈的影响

Xiaolu Wang, Chung-Yiu Yau, Hoi To Wai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36514-36540

通过锐度鲁棒地学习单个神经元

Puqian Wang, Nikos Zarifis, Ilias Diakonikolas, Jelena Diakonikolas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36541-36577

DualHSIC:用于持续学习的HSIC瓶颈和对齐

Zifeng Wang, Zheng Zhan, Yifan Gong, Yucai Shao, Stratis Ioannidis, Yanzhi Wang, Jennifer Dy; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36578-36592

在未知随机环境中通过软障碍强制执行硬约束:安全强化学习

Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36593-36604

LinSATNet:正线性可满足性神经网络

Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36605-36625

离线元强化学习与分布内在线自适应

Jianhao Wang, Jin Zhang, Haozhe Jiang, Junyu Zhang, Liwei Wang, Chongjie Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36626-36669

面向部分可观察马尔可夫决策过程的基于集合成员信念状态的强化学习

Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36670-36693

PPG Reloaded:关于阶段策略梯度中重要因素的实证研究

Kaixin Wang, Daquan Zhou, Jiashi Feng, Shie Mannor; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36694-36713

关于异质因果图中的异质性处理效应

Richard A Watson, Hengrui Cai, Xinming An, Samuel Mclean, Rui Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36714-36747

用于私有置信集的非参数扩展随机响应

Ian Waudby-Smith, Steven Wu, Aaditya Ramdas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36748-36789

黎曼凸性下的欧几里得CCC P的全局最优性

Melanie Weber, Suvrit Sra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36790-36803

从聚合观测分类的通用无偏方法

Zixi Wei, Lei Feng, Bo Han, Tongliang Liu, Gang Niu, Xiaofeng Zhu, Heng Tao Shen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36804-36820

NTK近似MLP融合,用于高效语言模型微调

Tianxin Wei, Zeming Guo, Yifan Chen, Jingrui He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36821-36838

通过图对比注意力增强图对比学习

Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36839-36855

用于POMDPs的基于集合成员信念状态的强化学习

Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36856-36867

通过剪切模型预测来减轻噪声标签的记忆

Hongxin Wei, Huiping Zhuang, Renchunzi Xie, Lei Feng, Gang Niu, Bo An, Yixuan Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36868-36886

图式扩散模型

Christian Dietrich Weilbach, William Harvey, Frank Wood; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36887-36909

具有同态的期望完备图表示

Pascal Welke, Maximilian Thiessen, Fabian Jogl, Thomas Gärtner; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36910-36925

用于加速多线圈 MR 成像的条件归一化流

Jeffrey Wen, Rizwan Ahmad, Philip Schniter; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36926-36939

优化类增量学习的模式连接

Haitao Wen, Haoyang Cheng, Heqian Qiu, Lanxiao Wang, Lili Pan, Hongliang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36940-36957

面向拟合任务的关键几何特征长度的学习

Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas Guibas; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36958-36977

Open-VCLIP:通过插值权重优化将CLIP转化为开放词汇视频模型

Zejia Weng, Xitong Yang, Ang Li, Zuxuan Wu, Yu-Gang Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36978-36989

差分隐私中的完全自适应组合

Justin Whitehouse, Aaditya Ramdas, Ryan Rogers, Steven Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:36990-37007

具有通用迷你批次一致性和无偏全集梯度近似的可扩展集合编码

Jeffrey Willette, Seanie Lee, Bruno Andreis, Kenji Kawaguchi, Juho Lee, Sung Ju Hwang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37008-37041

用于生物可信对比学习的灵活相位动力学

Ezekiel Williams, Colin Bredenberg, Guillaume Lajoie; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37042-37065

截断密度估计的近似斯坦类

Daniel James Williams, Song Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37066-37090

存在抑制变量时XAI方法的理论行为

Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37091-37107

当学习最优稀疏表示时,边际化并不边际:没有糟糕的VAE局部最小值

David Wipf; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37108-37132

分子不确定性估计:期望和方法

Tom Wollschläger, Nicholas Gao, Bertrand Charpentier, Mohamed Amine Ketata, Stephan Günnemann; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37133-37156

联邦Q学习中的异质性祝福:线性加速及其他

Jiin Woo, Gauri Joshi, Yuejie Chi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37157-37216

用于时间序列预测的深度时间索引模型学习

Gerald Woo, Chenghao Liu, Doyen Sahoo, Akshat Kumar, Steven Hoi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37217-37237

$\ell_p$灵敏度采样更优界限

David Woodruff, Taisuke Yasuda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37238-37272

一次损失优于两次:使用更便宜的代理进行更快的优化

Blake Woodworth, Konstantin Mishchenko, Francis Bach; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37273-37292

SEGA:用于图对比学习的结构熵引导锚视图

Junran Wu, Xueyuan Chen, Bowen Shi, Shangzhe Li, Ke Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37293-37312

用于概念驱动模型解释的因果代理模型

Zhengxuan Wu, Karel D’Oosterlinck, Atticus Geiger, Amir Zur, Christopher Potts; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37313-37334

具有嵌入聚类正则化的有效神经主题建模

Xiaobao Wu, Xinshuai Dong, Thong Thanh Nguyen, Anh Tuan Luu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37335-37357

自适应组合连续元学习

Bin Wu, Jinyuan Fang, Xiangxiang Zeng, Shangsong Liang, Qiang Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37358-37378

面向部分客户端参与的联邦学习锚点采样

Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37379-37416

利用潜空间谱模型求解高维偏微分方程

Haixu Wu, Tengge Hu, Huakun Luo, Jianmin Wang, Mingsheng Long; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37417-37438

超越等周不等式的鲁棒性定律

Yihan Wu, Heng Huang, Hongyang Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37439-37455

揭示测试时适应中的对抗风险

Tong Wu, Feiran Jia, Xiangyu Qi, Jiachen T. Wang, Vikash Sehwag, Saeed Mahloujifar, Prateek Mittal; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37456-37495

异质性处理效果的稳定估计

Anpeng Wu, Kun Kuang, Ruoxuan Xiong, Bo Li, Fei Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37496-37510

通过非参数子图匹配重新思考图神经网络的解释

Fang Wu, Siyuan Li, Xurui Jin, Yinghui Jiang, Dragomir Radev, Zhangming Niu, Stan Z. Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37511-37523

理解语言模型的Int4量化:延迟加速、可组合性和失败案例

Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37524-37539

走向理解多标签学习中的宏观AUC泛化

Guoqiang Wu, Chongxuan Li, Yilong Yin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37540-37570

量化GNN中的知识以实现可靠的MLP蒸馏

Lirong Wu, Haitao Lin, Yufei Huang, Stan Z. Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37571-37581

延迟无关的异步坐标更新算法

Xuyang Wu, Changxin Liu, Sindri Magnússon, Mikael Johansson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37582-37606

用于预测、表示和控制的掩码轨迹模型

Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37607-37623

用于分层多保真度深度贝叶斯主动学习的解耦

Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yian Ma, Rose Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37624-37634

隐私化Top-k选择的精确数据访问界限

Hao Wu, Olga Ohrimenko, Anthony Wirth; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37635-37655

随机梯度下降中的动力稳定性隐式正则化

Lei Wu, Weijie J Su; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37656-37684

具有预测误差保证的分布离线策略评估

Runzhe Wu, Masatoshi Uehara, Wen Sun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37685-37712

$\pi$-Tuning:通过最优多任务插值迁移多模态基础模型

Chengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37713-37727

学习具有私有标签的功能分布

Changlong Wu, Yifan Wang, Ananth Grama, Wojciech Szpankowski; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37728-37744

QuantumDARTS:用于变分量子算法的可微分量子架构搜索

Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37745-37764

发现与治愈:概念感知抑制虚假相关

Shirley Wu, Mert Yuksekgonul, Linjun Zhang, James Zou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37765-37786

关于Shuffling SGD与Batch Normalization的训练不稳定性

David Xing Wu, Chulhee Yun, Suvrit Sra; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37787-37845

dugMatting:分解不确定性引导的抠图

Jiawei Wu, Changqing Zhang, Zuoyong Li, Huazhu Fu, Xi Peng, Joey Tianyi Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37846-37859

面向混合分布的个性化联邦学习

Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37860-37879

具有重尾奖励的差分隐私情节强化学习

Yulian Wu, Xingyu Zhou, Sayak Ray Chowdhury, Di Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37880-37918

高维单ReLU神经元的有限样本分析

Jingfeng Wu, Difan Zou, Zixiang Chen, Vladimir Braverman, Quanquan Gu, Sham M. Kakade; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37919-37951

理解适应性假设下的后门攻击

Xun Xian, Ganghua Wang, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37952-37976

通过后处理实现公平和最优分类

Ruicheng Xian, Lang Yin, Han Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:37977-38012

UMD:X2X后门攻击的无监督模型检测

Zhen Xiang, Zidi Xiong, Bo Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38013-38038

用于图像恢复的随机打乱Transformer

Jie Xiao, Xueyang Fu, Man Zhou, Hongjian Liu, Zheng-Jun Zha; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38039-38058

通过聚合迭代微分进行通信高效联邦超梯度计算

Peiyao Xiao, Kaiyi Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38059-38086

SmoothQuant:大型语言模型的精确高效训练后量化

Guangxuan Xiao, Ji Lin, Mickael Seznec, Hao Wu, Julien Demouth, Song Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38087-38099

关于神经ODE的前向不变性

Wei Xiao, Tsun-Hsuan Wang, Ramin Hasani, Mathias Lechner, Yutong Ban, Chuang Gan, Daniela Rus; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38100-38124

COMCAT:面向注意力模型的高效压缩和定制

Jinqi Xiao, Miao Yin, Yu Gong, Xiao Zang, Jian Ren, Bo Yuan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38125-38136

从人类课堂研究技术中汲取灵感,改进双层优化方法

Pengtao Xie; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38137-38186

面向决策Transformer的未来条件无监督预训练

Zhihui Xie, Zichuan Lin, Deheng Ye, Qiang Fu, Yang Wei, Shuai Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38187-38203

DeSRA:检测并删除GAN生成真实世界超分辨率模型的伪影

Liangbin Xie, Xintao Wang, Xiangyu Chen, Gen Li, Ying Shan, Jiantao Zhou, Chao Dong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38204-38226

线性马尔可夫决策过程中的半参数有效离线策略评估

Chuhan Xie, Wenhao Yang, Zhihua Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38227-38257

对环境失配下基于视觉的长期动力学预测的批判性审视

Hanchen Xie, Jiageng Zhu, Mahyar Khayatkhoei, Jiazhi Li, Mohamed E. Hussein, Wael Abdalmageed; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38258-38271

通过实例级队友反馈修正来控制即席团队合作中的类型混淆

Dong Xing, Pengjie Gu, Qian Zheng, Xinrun Wang, Shanqi Liu, Longtao Zheng, Bo An, Gang Pan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38272-38285

通过上下文调制进行通用形态控制

Zheng Xiong, Jacob Beck, Shimon Whiteson; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38286-38300

用于解释图神经网络的相关行走搜索

Ping Xiong, Thomas Schnake, Michael Gastegger, Grégoire Montavon, Klaus Robert Muller, Shinichi Nakajima; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38301-38324

为什么最近邻语言模型有效?

Frank F. Xu, Uri Alon, Graham Neubig; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38325-38341

MixFlows:通过混合流的原则性变分推理

Zuheng Xu, Naitong Chen, Trevor Campbell; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38342-38376

使用优化进行比特分配

Tongda Xu, Han Gao, Chenjian Gao, Yuanyuan Wang, Dailan He, Jinyong Pi, Jixiang Luo, Ziyu Zhu, Mao Ye, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38377-38399

具有递归确定性等价的最优性马尔可夫决策过程的遗憾界限

Wenhao Xu, Xuefeng Gao, Xuedong He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38400-38427

概率分类对抗攻击和对抗训练

Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38428-38442

用于可控CAD模型生成的层次化神经编码

Xiang Xu, Pradeep Kumar Jayaraman, Joseph George Lambourne, Karl D.D. Willis, Yasutaka Furukawa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38443-38461

通过联合预测Token和持续时间实现高效序列转换

Hainan Xu, Fei Jia, Somshubra Majumdar, He Huang, Shinji Watanabe, Boris Ginsburg; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38462-38484

昂贵黑盒函数的可约束高效全局优化

Wenjie Xu, Yuning Jiang, Bratislav Svetozarevic, Colin Jones; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38485-38498

多目标多臂老虎机中的帕累托遗憾分析

Mengfan Xu, Diego Klabjan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38499-38517

通过顺序后验推理实现多样化且忠实的知识驱动对话生成

Yan Xu, Deqian Kong, Dehong Xu, Ziwei Ji, Bo Pang, Pascale Fung, Ying Nian Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38518-38534

量化神经网络的可变性崩溃

Jing Xu, Haoxiong Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38535-38550

实例相关部分标签学习的渐进式纯化

Ning Xu, Biao Liu, Jiaqi Lv, Congyu Qiao, Xin Geng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38551-38565

PFGM++:释放受物理启发的生成模型的潜力

Yilun Xu, Ziming Liu, Yonglong Tian, Shangyuan Tong, Max Tegmark, Tommi Jaakkola; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38566-38591

用于3D分子生成的几何潜在扩散模型

Minkai Xu, Alexander S Powers, Ron O. Dror, Stefano Ermon, Jure Leskovec; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38592-38610

欠定低秩矩阵感知中的预条件化力量

Xingyu Xu, Yandi Shen, Yuejie Chi, Cong Ma; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38611-38654

迷人的监督信号及其来源:具有尺度学习的深度异常检测

Hongzuo Xu, Yijie Wang, Juhui Wei, Songlei Jian, Yizhou Li, Ning Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38655-38673

争夺可共享臂的多玩家多臂老虎机

Renzhe Xu, Haotian Wang, Xingxuan Zhang, Bo Li, Peng Cui; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38674-38706

时间序列的顺序预测共轭推理

Chen Xu, Yao Xie; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38707-38727

mPLUG-2:文本、图像和视频的模块化多模态基础模型

Haiyang Xu, Qinghao Ye, Ming Yan, Yaya Shi, Jiabo Ye, Yuanhong Xu, Chenliang Li, Bin Bi, Qi Qian, Wei Wang, Guohai Xu, Ji Zhang, Songfang Huang, Fei Huang, Jingren Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38728-38748

ProtST:蛋白质序列和生物医学文本的多模态学习

Minghao Xu, Xinyu Yuan, Santiago Miret, Jian Tang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38749-38767

贝叶斯设计原则用于频率派顺序学习

Yunbei Xu, Assaf Zeevi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38768-38800

SLAMB:通过稀疏通信加速的大批量训练

Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38801-38825

无需训练:用于图神经网络的线性神经网络架构搜索

Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38826-38847

混淆离线策略评估的工具变量方法

Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38848-38880

用于聚类的近最优量子共集构造算法

Yecheng Xue, Xiaoyu Chen, Tongyang Li, Shaofeng H.-C. Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38881-38912

关于Transformer配置和训练目标的调查

Fuzhao Xue, Jianghai Chen, Aixin Sun, Xiaozhe Ren, Zangwei Zheng, Xiaoxin He, Yongming Chen, Xin Jiang, Yang You; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38913-38925

LazyGNN:通过懒惰传播实现大规模图神经网络

Rui Xue, Haoyu Han, Mohamadali Torkamani, Jian Pei, Xiaorui Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38926-38937

对比学习学习哪些特征?关于简单性偏差在类别崩溃和特征抑制中的作用

Yihao Xue, Siddharth Joshi, Eric Gan, Pin-Yu Chen, Baharan Mirzasoleiman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38938-38970

具有弹性输入序列的自适应计算

Fuzhao Xue, Valerii Likhosherstov, Anurag Arnab, Neil Houlsby, Mostafa Dehghani, Yang You; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38971-38988

Q-learning决策Transformer:利用动态规划进行离线RL的条件序列建模

Taku Yamagata, Ahmed Khalil, Raul Santos-Rodriguez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:38989-39007

量子Ridgelet变换:具有量子计算的神经网络的赢家彩票

Hayata Yamasaki, Sathyawageeswar Subramanian, Satoshi Hayakawa, Sho Sonoda; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39008-39034

具有异构数据的非凸复合问题的压缩去中心化近端随机梯度方法

Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39035-39061

用于视频生成的时间一致性Transformer

Wilson Yan, Danijar Hafner, Stephen James, Pieter Abbeel; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39062-39098

用于全景深度补全的失真和不确定性感知损失

Zhiqiang Yan, Xiang Li, Kun Wang, Shuo Chen, Jun Li, Jian Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39099-39109

通过反事实解释进行自可解释时间序列预测

Jingquan Yan, Hao Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39110-39125

量子3D图学习及其在分子嵌入中的应用

Ge Yan, Huaijin Wu, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39126-39137

时间变化强单调博弈中的快速收敛

Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39138-39164

生存分析的正确评分规则

Hiroki Yanagisawa; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39165-39182

行为对比学习用于无监督技能发现

Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39183-39204

嵌套消除:一种从选择反馈中识别最优项的简单算法

Junwen Yang, Yifan Feng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39205-39233

面向参数化分解与过滤的更好图表示学习

Mingqi Yang, Wenjie Feng, Yanming Shen, Bryan Hooi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39234-39251

具有节点属性的局部图聚类的加权流扩散:算法和统计保证

Shenghao Yang, Kimon Fountoulakis; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39252-39276

粗粒度蛋白质的化学可转移生成反映射

Soojung Yang, Rafael Gomez-Bombarelli; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39277-39298

针对多模态编码器的对抗性投毒攻击

Ziqing Yang, Xinlei He, Zheng Li, Michael Backes, Mathias Humbert, Pascal Berrang, Yang Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39299-39313

走向可持续学习:面向数据高效深度学习的共集

Yu Yang, Hao Kang, Baharan Mirzasoleiman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39314-39330

通过对较不鲁棒样本增加正则化来提高对抗鲁棒性

Dongyoon Yang, Insung Kong, Yongdai Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39331-39348

通过对神经动力学进行显式调节来提高深度均衡模型的对抗鲁棒性

Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39349-39364

在微调过程中抑制多模态模型的虚假相关

Yu Yang, Besmira Nushi, Hamid Palangi, Baharan Mirzasoleiman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39365-39379

表示学习的理论可以深入地概括核方法

Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39380-39415

具有恒定相关性的相关随机块模型上的精确图匹配的有效算法

Joonhyuk Yang, Dongpil Shin, Hye Won Chung; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39416-39452

神经表示中的细粒结构:神经元是否真的崩溃了?

Yongyi Yang, Jacob Steinhardt, Wei Hu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39453-39487

生成对抗性对称发现

Jianke Yang, Robin Walters, Nima Dehmamy, Rose Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39488-39508

通过动作偏好查询提升离线强化学习

Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39509-39523

面向主动学习的可控数据增强

Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39524-39542

离线目标条件强化学习的未见目标泛化需要什么?

Rui Yang, Lin Yong, Xiaoteng Ma, Hao Hu, Chongjie Zhang, Tong Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39543-39571

神经预测误差能够实现人类标准智力测试中的类比视觉推理

Lingxiao Yang, Hongzhi You, Zonglei Zhen, Dahui Wang, Xiaohong Wan, Xiaohua Xie, Ru-Yuan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39572-39583

变化是困难的:深入研究子群体偏移

Yuzhe Yang, Haoran Zhang, Dina Katabi, Marzyeh Ghassemi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39584-39622

通过稀疏提示在元策略网络中进行持续任务分配

Yijun Yang, Tianyi Zhou, Jing Jiang, Guodong Long, Yuhui Shi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39623-39638

双曲表示学习:回顾与进阶

Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39639-39659

学习带噪声标签哪个更好:半监督方法还是模拟标签噪声?

Yu Yao, Mingming Gong, Yuxuan Du, Jun Yu, Bo Han, Kun Zhang, Tongliang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39660-39673

在竞争性内容创作者下,前K推荐的效果如何?

Fan Yao, Chuanhao Li, Denis Nekipelov, Hongning Wang, Haifeng Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39674-39701

MultiAdam:用于物理信息神经网络多尺度训练的参数化尺度不变优化器

Jiachen Yao, Chang Su, Zhongkai Hao, Songming Liu, Hang Su, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39702-39721

策略镜像上升用于平均场博弈中的高效独立学习

Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39722-39754

检索增强多模态语言建模

Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Richard James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer, Wen-Tau Yih; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39755-39769

预训练对强化学习泛化的能力:可证明的优势和难度

Haotian Ye, Xiaoyu Chen, Liwei Wang, Simon Shaolei Du; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39770-39800

通过推断协作图进行个性化联邦学习

Rui Ye, Zhenyang Ni, Fangzhao Wu, Siheng Chen, Yanfeng Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39801-39817

用于上下文学习的组合示例

Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39818-39833

针对非线性上下文赌博机和马尔可夫决策过程的具有不确定性加权的鲁棒算法

Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39834-39863

用于大规模整数规划的GNN&GBDT引导的快速优化框架

Huigen Ye, Hua Xu, Hongyan Wang, Chengming Wang, Yu Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39864-39878

FedDisco:基于差异感知协作的联邦学习

Rui Ye, Mingkai Xu, Jianyu Wang, Chenxin Xu, Siheng Chen, Yanfeng Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39879-39902

面向约束组合优化研究量子机器学习:一种量子QAP求解器

Xinyu Ye, Ge Yan, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39903-39912

用于早期事件预测的时间标签平滑

Hugo Yèche, Alizée Pace, Gunnar Ratsch, Rita Kuznetsova; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39913-39938

在存在潜在混淆因素的情况下,从时间到同期迭代因果发现

Raanan Yehezkel Rohekar, Shami Nisimov, Yaniv Gurwicz, Gal Novik; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39939-39950

双重对抗性联邦赌博机

Jialin Yi, Milan Vojnovic; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39951-39967

在线原型对齐用于少样本策略迁移

Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39968-39983

MonoFlow:从沃瑟斯坦梯度流的角度重新思考散度GAN

Mingxuan Yi, Zhanxing Zhu, Song Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:39984-40000

SE(3)扩散模型及其在蛋白质骨架生成中的应用

Jason Yim, Brian L. Trippe, Valentin De Bortoli, Emile Mathieu, Arnaud Doucet, Regina Barzilay, Tommi Jaakkola; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40001-40039

CoCo:用于无监督域适应图分类的耦合对比框架

Nan Yin, Li Shen, Mengzhu Wang, Long Lan, Zeyu Ma, Chong Chen, Xian-Sheng Hua, Xiao Luo; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40040-40053

完全正态性下的图模型自适应估计

Jiaxi Ying, José Vinı́cius De Miranda Cardoso, Daniel P. Palomar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40054-40074

改进用于自监督视觉Transformer的视觉提示调优

Seungryong Yoo, Eunji Kim, Dahuin Jung, Jungbeom Lee, Sungroh Yoon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40075-40092

端到端多目标检测与正则化混合模型

Jaeyoung Yoo, Hojun Lee, Seunghyeon Seo, Inseop Chung, Nojun Kwak; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40093-40110

EM-Network:用于序列学习的Oracle引导的自蒸馏

Ji Won Yoon, Sunghwan Ahn, Hyeonseung Lee, Minchan Kim, Seok Min Kim, Nam Soo Kim; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40111-40128

持续学习者是递增模型泛化者

Jaehong Yoon, Sung Ju Hwang, Yue Cao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40129-40146

研究预训练目标中心表示法在强化学习中的应用

Jaesik Yoon, Yi-Fu Wu, Heechul Bae, Sungjin Ahn; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40147-40174

用于基准图神经网络的图生成模型

Minji Yoon, Yue Wu, John Palowitch, Bryan Perozzi, Russ Salakhutdinov; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40175-40198

量子神经网络的收敛分析:偏离神经切线核

Xuchen You, Shouvanik Chakrabarti, Boyang Chen, Xiaodi Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40199-40224

视频中的熵驱动无监督关键点表示学习

Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40225-40253

基于模型的泛化在强化学习中的优势

Kenny John Young, Aditya Ramesh, Louis Kirsch, Jürgen Schmidhuber; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40254-40276

COLA:为应对硬件缺陷的神经网络推理提供错误编码与学习的协同编排

Anlan Yu, Ning Lyu, Jieming Yin, Zhiyuan Yan, Wujie Wen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40277-40289

利用干净数据来深入研究噪声标签检测

Chenglin Yu, Xinsong Ma, Weiwei Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40290-40305

从语言模型中提取训练数据的技巧

Weichen Yu, Tianyu Pang, Qian Liu, Chao Du, Bingyi Kang, Yan Huang, Min Lin, Shuicheng Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40306-40320

在双空间中发现并对多类主动学习的未标记支持向量进行排序

Dayou Yu, Weishi Shi, Qi Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40321-40338

长期节奏视频声音跟踪器

Jiashuo Yu, Yaohui Wang, Xinyuan Chen, Xiao Sun, Yu Qiao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40339-40353

对深度神经网络的对抗参数攻击

Lijia Yu, Yihan Wang, Xiao-Shan Gao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40354-40372

CodeIPPrompt:代码语言模型的知识产权侵权评估

Zhiyuan Yu, Yuhao Wu, Ning Zhang, Chenguang Wang, Yevgeniy Vorobeychik, Chaowei Xiao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40373-40389

SeedGNN:用于监督种子图匹配的图神经网络

Liren Yu, Jiaming Xu, Xiaojun Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40390-40411

用于预测量子哈密顿量的经济高效且等变性图网络

Haiyang Yu, Zhao Xu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40412-40424

关于风险厌恶策略梯度方法与期望条件风险度量的全局收敛性

Xian Yu, Lei Ying; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40425-40451

用于离线到在线强化学习的 Actor-Critic 对齐

Zishun Yu, Xinhua Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40452-40474

Master-ASR:通过模块化学习实现多语言可扩展性和低资源适应性

Zhongzhi Yu, Yang Zhang, Kaizhi Qian, Cheng Wan, Yonggan Fu, Yongan Zhang, Yingyan Celine Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40475-40487

坐标下降法用于分数最小化

Ganzhao Yuan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40488-40518

关于基础模型的威力

Yang Yuan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40519-40530

用于深度强化学习探索的自动内在奖励塑造

Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40531-40554

穿越函数空间中的模式以实现快速集成

Eunggu Yun, Hyungi Lee, Giung Nam, Juho Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40555-40577

含缺失值的保形预测

Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40578-40604

KDEformer:通过核密度估计加速Transformer

Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40605-40623

贝叶斯估计差分隐私

Santiago Zanella-Beguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40624-40636

当可实现性足以进行离策略强化学习时?

Andrea Zanette; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40637-40668

关于学习索引的分布相关子对数查询时间

Sepanta Zeighami, Cyrus Shahabi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40669-40680

序列反事实风险最小化

Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40681-40706

LookupFFN:使Transformer变得计算量小,以实现CPU推理

Zhanpeng Zeng, Michael Davies, Pranav Pulijala, Karthikeyan Sankaralingam, Vikas Singh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40707-40718

针对带讨厌噪声的低度多项式阈值函数的属性高效PAC学习

Shiwei Zeng, Jie Shen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40719-40748

生成图字典学习

Zhichen Zeng, Ruike Zhu, Yinglong Xia, Hanqing Zeng, Hanghang Tong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40749-40769

通过防止注意力熵崩溃来稳定Transformer训练

Shuangfei Zhai, Tatiana Likhomanenko, Etai Littwin, Dan Busbridge, Jason Ramapuram, Yizhe Zhang, Jiatao Gu, Joshua M. Susskind; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40770-40803

具有一般函数逼近的马尔可夫博弈中的离线学习

Yuheng Zhang, Yu Bai, Nan Jiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40804-40829

学习对转移任务和分布有用的表示

Jianyu Zhang, Leon Bottou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40830-40850

非参数迭代机器教学

Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40851-40870

矩阵估计用于个体公平性

Cindy Zhang, Sarah Huiyi Cen, Devavrat Shah; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40871-40887

图对比后门攻击

Hangfan Zhang, Jinghui Chen, Lu Lin, Jinyuan Jia, Dinghao Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40888-40910

深度非参数回归的明氏维度:函数逼近与统计理论

Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40911-40931

用于自回归语言生成的可控生成

Honghua Zhang, Meihua Dang, Nanyun Peng, Guy Van Den Broeck; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40932-40945

CataBEEM:将潜在交互类别整合到节点社区检测模型中用于网络数据

Yuhua Zhang, Walter H. Dempsey; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40946-40975

重新思考DARTS搜索空间并革新基准

Jiuling Zhang, Zhiming Ding; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40976-40995

团队信念DAG:将序列形式泛化到团队博弈,通过遗憾最小化快速计算相关团队最大-最小对策

Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:40996-41018

通过子图Weisfeiler-Lehman测试对子图GNN的完整表达能力等级进行分析

Bohang Zhang, Guhao Feng, Yiheng Du, Di He, Liwei Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41019-41077

为真实世界超分辨率中的精度-泛化权衡而定制训练降级分布

Ruofan Zhang, Jinjin Gu, Haoyu Chen, Chao Dong, Yulun Zhang, Wenming Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41078-41091

提示大型语言模型用于机器翻译:一个案例研究

Biao Zhang, Barry Haddow, Alexandra Birch; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41092-41110

在线线性上下文赌博机中,模型误设与次优差距之间的相互作用

Weitong Zhang, Jiafan He, Zhiyuan Fan, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41111-41132

当稀疏性遇上对比模型:更少的图数据能否带来更好的类别平衡表示

Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41133-41150

空间-时间图学习与对抗对比适应

Qianru Zhang, Chao Huang, Lianghao Xia, Zheng Wang, Siu Ming Yiu, Ruihua Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41151-41163

利用去噪扩散隐式模型实现连贯图像修复

Guanhua Zhang, Jiabao Ji, Yang Zhang, Mo Yu, Tommi Jaakkola, Shiyu Chang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41164-41193

CAB:用于长序列建模的全面注意力基准测试

Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41194-41218

用于带接触动力学的首阶策略梯度的自适应屏障平滑

Shenao Zhang, Wanxin Jin, Zhaoran Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41219-41243

单步估计量用于置换稀疏恢复

Hang Zhang, Ping Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41244-41267

关于非凸函数寻找不动点的量子下界

Chenyi Zhang, Tongyang Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41268-41299

通过不规则多模态电子健康记录建模来改进医疗预测

Xinlu Zhang, Shiyang Li, Zhiyu Chen, Xifeng Yan, Linda Ruth Petzold; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41300-41313

FedCR:基于跨客户端共同表示和条件互信息正则化的个性化联邦学习

Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41314-41330

关于模型误设的核岭回归的最优性

Haobo Zhang, Yicheng Li, Weihao Lu, Qian Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41331-41353

Fed-CBS:一种通过类不平衡减少实现异构感知客户端采样的联邦学习机制

Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41354-41381

学习亚口袋原型以实现可泛化的基于结构的药物设计

Zaixi Zhang, Qi Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41382-41398

No One Idles:面向异构联邦学习的并行边缘与服务器计算

Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41399-41413

后悔的智慧让语言模型成为更好的指令遵循者

Tianjun Zhang, Fangchen Liu, Justin Wong, Pieter Abbeel, Joseph E. Gonzalez; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41414-41428

通过预期扰动分数探测多个扰动以检测对抗性数据

Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41429-41451

关于通过固定大小ReLU网络组合增强表达能力

Shijun Zhang, Jianfeng Lu, Hongkai Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41452-41487

用于高效N:M稀疏训练的双向掩码

Yuxin Zhang, Yiting Luo, Mingbao Lin, Yunshan Zhong, Jingjing Xie, Fei Chao, Rongrong Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41488-41497

面向联邦开放世界半监督学习的无偏训练

Jie Zhang, Xiaosong Ma, Song Guo, Wenchao Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41498-41509

用于强化学习中交互式对象放置

Shengping Zhang, Quanling Meng, Qinglin Liu, Liqiang Nie, Bineng Zhong, Xiaopeng Fan, Rongrong Ji; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41510-41522

用于分布式二阶优化的最优收缩

Fangzhao Zhang, Mert Pilanci; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41523-41549

“模型为何失败?”:将模型性能变化归因于分布偏移

Haoran Zhang, Harvineet Singh, Marzyeh Ghassemi, Shalmali Joshi; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41550-41578

通过自适应水平集估计学习感兴趣区域以用于贝叶斯优化

Fengxue Zhang, Jialin Song, James C Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41579-41595

关于散度定义的范畴论元分析

Yivan Zhang, Masashi Sugiyama; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41596-41612

关于具有线性函数逼近的SARSA的收敛性

Shangtong Zhang, Remi Tachet Des Combes, Romain Laroche; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41613-41646

AdaNPC:探索用于测试时间适应的非参数分类器

Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41647-41676

关于多模态对比学习的泛化

Qi Zhang, Yifei Wang, Yisen Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41677-41693

ConCerNet:一种基于对比学习的框架,用于自动化守恒定律发现和可信动态系统预测

Wang Zhang, Tsui-Wei Weng, Subhro Das, Alexandre Megretski, Luca Daniel, Lam M. Nguyen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41694-41714

面向可信解释:关于因果合理化

Wenbo Zhang, Tong Wu, Yunlong Wang, Yong Cai, Hengrui Cai; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41715-41736

揭示图神经网络链接窃取攻击的不均匀脆弱性

He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41737-41752

面向低质量多模态数据的可证明动态融合

Qingyang Zhang, Haitao Wu, Changqing Zhang, Qinghua Hu, Huazhu Fu, Joey Tianyi Zhou, Xi Peng; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41753-41769

ReDi:通过轨迹检索实现高效无学习的扩散推理

Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41770-41785

面向具有双边资源约束和有限请求的在线分配问题的几乎最优竞争比

Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41786-41818

你还记得吗?克服灾难性遗忘以进行假音频检测

Xiaohui Zhang, Jiangyan Yi, Jianhua Tao, Chenglong Wang, Chu Yuan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41819-41831

代码审查者重排序用于代码生成

Tianyi Zhang, Tao Yu, Tatsunori Hashimoto, Mike Lewis, Wen-Tau Yih, Daniel Fried, Sida Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41832-41846

DP-Fast MH:用于大规模贝叶斯推理的私有、快速、准确的Metropolis-Hastings

Wanrong Zhang, Ruqi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41847-41860

关于深度核学习的近似紧界

Yifan Zhang, Min-Ling Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41861-41879

OpenFE:具有专家级性能的自动化特征生成

Tianping Zhang, Zheyu Aqa Zhang, Zhiyuan Fan, Haoyan Luo, Fengyuan Liu, Qian Liu, Wei Cao, Li Jian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41880-41901

面向线性混合MDP的最优无视界无奖励探索

Junkai Zhang, Weitong Zhang, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41902-41930

通过改变最优传输成本来解锁槽注意力

Yan Zhang, David W. Zhang, Simon Lacoste-Julien, Gertjan J. Burghouts, Cees G. M. Snoek; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41931-41951

面向鲁棒于噪声和不同密度的持久性图

Hang Zhang, Kaifeng Zhang, Kai Ming Ting, Ye Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41952-41972

面对上下文干扰的鲁棒情景强化学习

Jinpeng Zhang, Yufeng Zheng, Chuheng Zhang, Li Zhao, Lei Song, Yuan Zhou, Jiang Bian; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41973-41989

Patch-level Contrastive Learning via Positional Query for Visual Pre-training

Shaofeng Zhang, Qiang Zhou, Zhibin Wang, Fan Wang, Junchi Yan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:41990-41999

Men Also Do Laundry: Multi-Attribute Bias Amplification

Dora Zhao, Jerone Andrews, Alice Xiang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42000-42017

Rockmate: an Efficient, Fast, Automatic and Generic Tool for Re-materialization in PyTorch

Xunyi Zhao, Théotime Le Hellard, Lionel Eyraud-Dubois, Julia Gusak, Olivier Beaumont; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42018-42045

Revisiting Structured Variational Autoencoders

Yixiu Zhao, Scott Linderman; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42046-42057

On Pitfalls of Test-Time Adaptation

Hao Zhao, Yuejiang Liu, Alexandre Alahi, Tao Lin; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42058-42080

Addressing Budget Allocation and Revenue Allocation in Data Market Environments Using an Adaptive Sampling Algorithm

Boxin Zhao, Boxiang Lyu, Raul Castro Fernandez, Mladen Kolar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42081-42097

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, Dong Chen, Fang Wen, Lu Yuan, Ce Liu, Wenbo Zhou, Qi Chu, Weiming Zhang, Nenghai Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42098-42109

Revisiting Simple Regret: Fast Rates for Returning a Good Arm

Yao Zhao, Connor Stephens, Csaba Szepesvari, Kwang-Sung Jun; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42110-42158

Transformed Distribution Matching for Missing Value Imputation

He Zhao, Ke Sun, Amir Dezfouli, Edwin V. Bonilla; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42159-42186

Protecting Language Generation Models via Invisible Watermarking

Xuandong Zhao, Yu-Xiang Wang, Lei Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42187-42199

Local Optimization Achieves Global Optimality in Multi-Agent Reinforcement Learning

Yulai Zhao, Zhuoran Yang, Zhaoran Wang, Jason D. Lee; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42200-42226

Simplified Temporal Consistency Reinforcement Learning

Yi Zhao, Wenshuai Zhao, Rinu Boney, Juho Kannala, Joni Pajarinen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42227-42246

RLEG: Vision-Language Representation Learning with Diffusion-based Embedding Generation

Liming Zhao, Kecheng Zheng, Yun Zheng, Deli Zhao, Jingren Zhou; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42247-42258

Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits

Heyang Zhao, Dongruo Zhou, Jiafan He, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42259-42279

Does Continual Learning Equally Forget All Parameters?

Haiyan Zhao, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42280-42303

Online Learning in Stackelberg Games with an Omniscient Follower

Geng Zhao, Banghua Zhu, Jiantao Jiao, Michael Jordan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42304-42316

Structure-informed Language Models Are Protein Designers

Zaixiang Zheng, Yifan Deng, Dongyu Xue, Yi Zhou, Fei Ye, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42317-42338

Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories

Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42339-42362

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42363-42389

Fast Sampling of Diffusion Models via Operator Learning

Hongkai Zheng, Weili Nie, Arash Vahdat, Kamyar Azizzadenesheli, Anima Anandkumar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42390-42402

Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation

Wenqing Zheng, S P Sharan, Ajay Kumar Jaiswal, Kevin Wang, Yihan Xi, Dejia Xu, Zhangyang Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42403-42419

Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42420-42477

Evidential Interactive Learning for Medical Image Captioning

Ervine Zheng, Qi Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42478-42491

Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-prone Graphs

Yizhen Zheng, He Zhang, Vincent Lee, Yu Zheng, Xiao Wang, Shirui Pan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42492-42505

Multi-agent Online Scheduling: MMS Allocations for Indivisible Items

Shengwei Zhou, Rufan Bai, Xiaowei Wu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42506-42516

Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration

Dawei Zhou, Yukun Chen, Nannan Wang, Decheng Liu, Xinbo Gao, Tongliang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42517-42530

Brainformers: Trading Simplicity for Efficiency

Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V Le, Claire Cui, James Laudon, Jeff Dean; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42531-42542

Implicit Regularization Leads to Benign Overfitting for Sparse Linear Regression

Mo Zhou, Rong Ge; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42543-42573

ODS: Test-Time Adaptation in the Presence of Open-World Data Shift

Zhi Zhou, Lan-Zhe Guo, Lin-Han Jia, Dingchu Zhang, Yu-Feng Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42574-42588

Fourmer: An Efficient Global Modeling Paradigm for Image Restoration

Man Zhou, Jie Huang, Chun-Le Guo, Chongyi Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42589-42601

Controlled Text Generation with Natural Language Instructions

Wangchunshu Zhou, Yuchen Eleanor Jiang, Ethan Wilcox, Ryan Cotterell, Mrinmaya Sachan; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42602-42613

NNSplitter: An Active Defense Solution for DNN Model via Automated Weight Obfuscation

Tong Zhou, Yukui Luo, Shaolei Ren, Xiaolin Xu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42614-42624

Deep Latent State Space Models for Time-Series Generation

Linqi Zhou, Michael Poli, Winnie Xu, Stefano Massaroli, Stefano Ermon; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42625-42643

SlotGAT: Slot-based Message Passing for Heterogeneous Graphs

Ziang Zhou, Jieming Shi, Renchi Yang, Yuanhang Zou, Qing Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42644-42657

Fast Online Node Labeling for Very Large Graphs

Baojian Zhou, Yifan Sun, Reza Babanezhad Harikandeh; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42658-42697

Horizon-Free and Variance-Dependent Reinforcement Learning for Latent Markov Decision Processes

Runlong Zhou, Ruosong Wang, Simon Shaolei Du; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42698-42723

Phase-aware Adversarial Defense for Improving Adversarial Robustness

Dawei Zhou, Nannan Wang, Heng Yang, Xinbo Gao, Tongliang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42724-42741

From Relational Pooling to Subgraph GNNs: A Universal Framework for More Expressive Graph Neural Networks

Cai Zhou, Xiyuan Wang, Muhan Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42742-42768

Towards Omni-generalizable Neural Methods for Vehicle Routing Problems

Jianan Zhou, Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42769-42789

A Three-regime Model of Network Pruning

Yefan Zhou, Yaoqing Yang, Arin Chang, Michael W. Mahoney; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42790-42809

Learning to Decouple Complex Systems

Zihan Zhou, Tianshu Yu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42810-42828

ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation

Kaiwen Zhou, Kaizhi Zheng, Connor Pryor, Yilin Shen, Hongxia Jin, Lise Getoor, Xin Eric Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42829-42842

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation

Zhanke Zhou, Chenyu Zhou, Xuan Li, Jiangchao Yao, Quanming Yao, Bo Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42843-42877

Sharp Variance-Dependent Bounds in Reinforcement Learning: Best of Both Worlds in Stochastic and Deterministic Environments

Runlong Zhou, Zhang Zihan, Simon Shaolei Du; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42878-42914

Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator

Sicheng Zhu, Bang An, Furong Huang, Sanghyun Hong; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42915-42937

Markovian Gaussian Process Variational Autoencoders

Harrison Zhu, Carles Balsells-Rodas, Yingzhen Li; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42938-42961

Mixture Proportion Estimation Beyond Irreducibility

Yilun Zhu, Aaron Fjeldsted, Darren Holland, George Landon, Azaree Lintereur, Clayton Scott; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42962-42982

Exploring Model Dynamics for Accumulative Poisoning Discovery

Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:42983-43004

Decentralized SGD and Average-direction SAM are Asymptotically Equivalent

Tongtian Zhu, Fengxiang He, Kaixuan Chen, Mingli Song, Dacheng Tao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43005-43036

Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons

Banghua Zhu, Michael Jordan, Jiantao Jiao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43037-43067

Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability

Jianing Zhu, Hengzhuang Li, Jiangchao Yao, Tongliang Liu, Jianliang Xu, Bo Han; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43068-43104

Benign Overfitting in Deep Neural Networks under Lazy Training

Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Francesco Locatello, Volkan Cevher; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43105-43128

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics

Jiacheng Zhu, Jielin Qiu, Aritra Guha, Zhuolin Yang, Xuanlong Nguyen, Bo Li, Ding Zhao; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43129-43157

LeadFL: Client Self-Defense against Model Poisoning in Federated Learning

Chaoyi Zhu, Stefanie Roos, Lydia Y. Chen; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43158-43180

XTab: Cross-table Pretraining for Tabular Transformers

Bingzhao Zhu, Xingjian Shi, Nick Erickson, Mu Li, George Karypis, Mahsa Shoaran; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43181-43204

Provable Multi-instance Deep AUC Maximization with Stochastic Pooling

Dixian Zhu, Bokun Wang, Zhi Chen, Yaxing Wang, Milan Sonka, Xiaodong Wu, Tianbao Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43205-43227

Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning

Junyi Zhu, Ruicong Yao, Matthew B. Blaschko; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43228-43257

Weak Proxies are Sufficient and Preferable for Fairness with Missing Sensitive Attributes

Zhaowei Zhu, Yuanshun Yao, Jiankai Sun, Hang Li, Yang Liu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43258-43288

Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity

Dixian Zhu, Yiming Ying, Tianbao Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43289-43325

Likelihood Adjusted Semidefinite Programs for Clustering Heterogeneous Data

Yubo Zhuang, Xiaohui Chen, Yun Yang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43326-43346

Are Random Decompositions all we need in High Dimensional Bayesian Optimisation?

Juliusz Krzysztof Ziomek, Haitham Bou Ammar; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43347-43368

Revisiting Bellman Errors for Offline Model Selection

Joshua P Zitovsky, Daniel De Marchi, Rishabh Agarwal, Michael Rene Kosorok; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43369-43406

spred: Solving L1 Penalty with SGD

Liu Ziyin, Zihao Wang; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43407-43422

The Benefits of Mixup for Feature Learning

Difan Zou, Yuan Cao, Yuanzhi Li, Quanquan Gu; Proceedings of the 40th International Conference on Machine Learning, PMLR 202:43423-43479

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