ICML

Sample Complexity of Distributionally Robust Off-Dynamics Reinforcement Learning with Online Interaction

Yiting He, Zhishuai Liu, Weixin Wang, Pan Xu

机构 * Duke University（杜克大学） 纠错

Comments 53 pages, 6 figures, 3 tables. Published in Proceedings of the 42nd International Conference on Machine Learning (ICML 2025)

Journal ref Proceedings of the 42nd International Conference on Machine Learning, PMLR 267:22595-22646, 2025

MorphTok: Morphologically Grounded Tokenization for Indian Languages

Maharaj Brahma, N J Karthika, Atul Singh, Devaraj Adiga, Smruti Bhate, Ganesh Ramakrishnan, Rohit Saluja, Maunendra Sankar Desarkar

Comments Accepted at Tokenization Workshop (TokShop), ICML 2025

TAMAS: Benchmarking Adversarial Risks in Multi-Agent LLM Systems

Ishan Kavathekar, Hemang Jain, Ameya Rathod, Ponnurangam Kumaraguru, Tanuja Ganu

机构 * International Institute of Information Technology, Hyderabad（国际信息科技研究所，海得拉巴） ； Microsoft Research, India（微软研究院，印度） 纠错

Comments Accepted at ICML 2025 MAS Workshop. This version includes additional experiments and analysis

Prediction-Powered Adaptive Shrinkage Estimation

Sida Li, Nikolaos Ignatiadis

机构 * Data Science Institute, The University of Chicago（芝加哥大学数据科学研究所） ； Department of Statistics, The University of Chicago（芝加哥大学统计学系） 纠错

Comments Accepted as poster in ICML 2025

Asymptotically Unbiased Synthetic Control Methods by Moment Matching

Masahiro Kato, Akari Ohda

Comments This study was presented at the Workshop on Counterfactuals in Minds and Machines at the International Conference on Machine Learning in July 2023 and at the International Conference on Econometrics and Statistics in August 2023