ICML

Stochastic Encodings for Active Feature Acquisition

Alexander Norcliffe, Changhee Lee, Fergus Imrie, Mihaela van der Schaar, Pietro Lio

机构 * Department of Computer Science and Technology, University of Cambridge, Cambridge, United Kingdom（计算机科学与技术系，剑桥大学，剑桥，英国） ； Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, United Kingdom（应用数学与理论物理系，剑桥大学，剑桥，英国） ； Department of Statistics, University of Oxford, Oxford, United Kingdom（统计学系，牛津大学，牛津，英国） ； Department of Artificial Intelligence, Korea University, Seoul, Korea（人工智能系，韩国大学，首尔，韩国） 纠错

Comments 31 pages, 15 figures, 17 tables, published at ICML 2025

Adversarial Cooperative Rationalization: The Risk of Spurious Correlations in Even Clean Datasets

Wei Liu, Zhongyu Niu, Lang Gao, Zhiying Deng, Jun Wang, Haozhao Wang, Ruixuan Li

机构 * School of Computer Science（计算机科学学院） ； Technology, Huazhong University of Science（科学技术大学技术学院） ； Faculty of Artificial Intelligence in Education, Central China Normal University（教育人工智能学院，中国中部师范大学） 纠错

Comments ICML 2025

Tool Unlearning for Tool-Augmented LLMs

Jiali Cheng, Hadi Amiri

机构 * University of Massachusetts Lowell（马萨诸塞大学洛厄尔分校） 纠错

Comments ICML 2025 https://clu-uml.github.io/MU-Bench-Project-Page/

Avoiding Catastrophe in Online Learning by Asking for Help

Benjamin Plaut, Hanlin Zhu, Stuart Russell

机构 * University of California, Berkeley（加州大学伯克利分校） 纠错

Comments Accepted to ICML 2025

$α$-Mutual Information: A Tunable Privacy Measure for Privacy Protection in Data Sharing

MirHamed Jafarzadeh Asl, Mohammadhadi Shateri, Fabrice Labeau

Comments 2023 22nd IEEE International Conference on Machine Learning and Applications (ICMLA)