ICML - arXivDaily 期刊&会议

2406.00275 2024-06-04 cs.CV cs.LG

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization

Songhua Liu, Xin Jin, Xingyi Yang, Jingwen Ye, Xinchao Wang

Comments Accepted at ICML 2024; Work in 2022 spring

2406.00213 2024-06-04 cs.DS

Individual Fairness in Graph Decomposition

Kamesh Munagala, Govind S. Sankar

Comments To appear in ICML 2024

2405.19919 2024-06-04 cs.LG cs.SI

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning

Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu

Comments ICML 2024

2405.18095 2024-06-04 stat.ML astro-ph.IM cs.LG physics.data-an

Is machine learning good or bad for the natural sciences?

David W. Hogg, Soledad Villar

Comments A Position Paper accepted for publication in the 2024 International Conference on Machine Learning (ICML)

2405.07552 2024-06-04 stat.ML cs.LG stat.ME

Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery

Caixing Wang, Ziliang Shen

Comments Forty-first International Conference on Machine Learning (ICML 2024), 27 pages, 4 figures, 14 tables

2405.01859 2024-06-04 cs.CY cs.AI cs.LG cs.RO

AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research

Riley Simmons-Edler, Ryan Badman, Shayne Longpre, Kanaka Rajan

Comments 9 pages, 1 figure, in ICML 2024

2402.15255 2024-06-04 cs.LG cs.AI

Optimal Transport for Structure Learning Under Missing Data

Vy Vo, He Zhao, Trung Le, Edwin V. Bonilla, Dinh Phung

Journal ref Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

2402.11338 2024-06-04 cs.LG cs.AI cs.CY stat.ML

Fair Classification with Partial Feedback: An Exploration-Based Data Collection Approach

Vijay Keswani, Anay Mehrotra, L. Elisa Celis

Comments Accepted for presentation at ICML 2024

2402.07875 2024-06-04 cs.LG cs.AI cs.SY eess.SY stat.ML

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States

Noam Razin, Yotam Alexander, Edo Cohen-Karlik, Raja Giryes, Amir Globerson, Nadav Cohen

Comments Accepted to ICML 2024

2402.06886 2024-06-04 cs.LG math.OC stat.ML

Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF

Han Shen, Zhuoran Yang, Tianyi Chen

Comments Shorter version accepted to ICML 2024

2402.04520 2024-06-04 cs.LG cs.AI stat.ML

On Computational Limits of Modern Hopfield Models: A Fine-Grained Complexity Analysis

Jerry Yao-Chieh Hu, Thomas Lin, Zhao Song, Han Liu

Comments Accepted at ICML 2024; v2 corrected typos; v3 added clarifications and references; v4,5 updated to camera-ready version

2402.02713 2024-06-04 cs.LG cs.AI

Position: What Can Large Language Models Tell Us about Time Series Analysis

Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen

Comments Accepted by the 41st International Conference on Machine Learning (ICML 2024)

2402.01514 2024-06-04 cs.LG math.AT stat.ML

Mapping the Multiverse of Latent Representations

Jeremy Wayland, Corinna Coupette, Bastian Rieck

Comments Accepted at ICML 2024

2401.11037 2024-06-04 cs.LG cs.NA math.NA q-bio.QM

Equivariant Graph Neural Operator for Modeling 3D Dynamics

Minkai Xu, Jiaqi Han, Aaron Lou, Jean Kossaifi, Arvind Ramanathan, Kamyar Azizzadenesheli, Jure Leskovec, Stefano Ermon, Anima Anandkumar

2312.10396 2024-06-04 cs.LG cs.AI

How Far Can Fairness Constraints Help Recover From Biased Data?

Mohit Sharma, Amit Deshpande

Comments Accepted for publication at ICML 2024

2311.17091 2024-06-04 cs.CV

Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models

Zhihe Lu, Jiawang Bai, Xin Li, Zeyu Xiao, Xinchao Wang

Comments Accepted on ICML 2024

2309.16932 2024-06-04 cs.LG stat.ML

Symmetry Induces Structure and Constraint of Learning

Liu Ziyin

Comments ICML 2024 Camera Ready Version

2309.13705 2024-06-04 cs.LG cs.AI

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

Wenqiang Li, Weijun Li, Lina Yu, Min Wu, Linjun Sun, Jingyi Liu, Yanjie Li, Shu Wei, Yusong Deng, Meilan Hao

Comments This paper has been accepted by ICML 2024

2309.10977 2024-06-04 cs.LG stat.ML

PAGER: A Framework for Failure Analysis of Deep Regression Models

Jayaraman J. Thiagarajan, Vivek Narayanaswamy, Puja Trivedi, Rushil Anirudh

Comments Published at ICML 2024

2309.10019 2024-06-04 cs.CV cs.LG

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Jiang-Xin Shi, Tong Wei, Zhi Zhou, Jie-Jing Shao, Xin-Yan Han, Yu-Feng Li

Comments Accepted by ICML 2024

2308.07120 2024-06-04 cs.CL

Position: Key Claims in LLM Research Have a Long Tail of Footnotes

Anna Rogers, Alexandra Sasha Luccioni

Comments ICML 2024 camera-ready (https://openreview.net/forum?id=M2cwkGleRL)

2305.15927 2024-06-04 cs.LG cs.SI

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Vy Vo, Trung Le, Tung-Long Vuong, He Zhao, Edwin Bonilla, Dinh Phung

Journal ref Proceedings of the 41st International Conference on Machine Learning, Vienna, Austria. PMLR 235, 2024

2205.14519 2024-06-04 cs.LG cs.GT stat.ML

Online Learning with Bounded Recall

Jon Schneider, Kiran Vodrahalli

Comments 13 pages, 2 figures, accepted at ICML 2024

2405.21060 2024-06-03 cs.LG

Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Tri Dao, Albert Gu

Comments ICML 2024

2405.21023 2024-06-03 math.OC cs.AI

Compact Optimality Verification for Optimization Proxies

Wenbo Chen, Haoruo Zhao, Mathieu Tanneau, Pascal Van Hentenryck

Comments International Conference on Machine Learning 2024

2405.20984 2024-06-03 cs.LG

Bayesian Design Principles for Offline-to-Online Reinforcement Learning

Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu, Ziqing Mai, Yujing Hu, Tangjie Lv, Changjie Fan, Qianchuan Zhao, Chongjie Zhang

Comments Forty-first International Conference on Machine Learning (ICML), 2024

2405.20652 2024-06-03 cs.LG

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs

Langzhang Liang, Sunwoo Kim, Kijung Shin, Zenglin Xu, Shirui Pan, Yuan Qi

Comments Published as a conference paper at ICML 2024

2405.20456 2024-06-03 cs.LG

Scaling Laws for the Value of Individual Data Points in Machine Learning

Ian Covert, Wenlong Ji, Tatsunori Hashimoto, James Zou

Comments ICML 2024 camera-ready

2405.20355 2024-06-03 cs.NE cs.CR cs.CV cs.LG

Enhancing Adversarial Robustness in SNNs with Sparse Gradients

Yujia Liu, Tong Bu, Jianhao Ding, Zecheng Hao, Tiejun Huang, Zhaofei Yu

Comments accepted by ICML 2024

2405.19499 2024-06-03 cs.LG cs.MA math.OC

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

Han Wang, Sihong He, Zhili Zhang, Fei Miao, James Anderson

Journal ref Proceedings of the 41st International Conference on Machine Learning, 2024 Learning