Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. - Chenlu Ye; Wei Xiong 015; Quanquan Gu; Tong Zhang 001 (ICML, 2023)

Corruption-Robust Offline Reinforcement Learning with General Function Approximation. - Chenlu Ye; Rui Yang 010; Quanquan Gu; Tong Zhang 001 (NeurIPS, 2023)

Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. - Yong Lin; Chen Liu 030; Chenlu Ye; Qing Lian; Yuan Yao 011; Tong Zhang 001 (CoRR, 2023)

Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. - Jianqing Fan; Zhaoran Wang 001; Zhuoran Yang; Chenlu Ye (CoRR, 2023)

Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF. - Wei Xiong 015; Hanze Dong; Chenlu Ye; Han Zhong 001; Nan Jiang 008; Tong Zhang 001 (CoRR, 2023)

Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint. - Wei Xiong 015; Hanze Dong; Chenlu Ye; Ziqi Wang 003; Han Zhong 001; Heng Ji 001; Nan Jiang 008; Tong Zhang 001 (ICML, 2024)

Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. - Chenlu Ye; Jiafan He; Quanquan Gu; Tong Zhang 001 (ICML, 2024)

Online Iterative Reinforcement Learning from Human Feedback with General Preference Model. - Chenlu Ye; Wei Xiong 015; Yuheng Zhang; Hanze Dong; Nan Jiang 008; Tong Zhang 001 (NeurIPS, 2024)

A Theoretical Analysis of Nash Learning from Human Feedback under General KL-Regularized Preference. - Chenlu Ye; Wei Xiong 015; Yuheng Zhang; Nan Jiang 008; Tong Zhang 001 (CoRR, 2024)

Sharp Analysis for KL-Regularized Contextual Bandits and RLHF. - Heyang Zhao; Chenlu Ye; Quanquan Gu; Tong Zhang 001 (CoRR, 2024)

Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. - Chenlu Ye; Yujia Jin; Alekh Agarwal; Tong Zhang 001 (CoRR, 2025)

Logarithmic Regret for Online KL-Regularized Reinforcement Learning. - Heyang Zhao; Chenlu Ye; Wei Xiong 015; Quanquan Gu; Tong Zhang 001 (CoRR, 2025)

Self-rewarding correction for mathematical reasoning. - Wei Xiong 015; Hanning Zhang; Chenlu Ye; Lichang Chen; Nan Jiang 008; Tong Zhang 001 (CoRR, 2025)

Daunce: Data Attribution through Uncertainty Estimation. - Xingyuan Pan; Chenlu Ye; Joseph Melkonian; Jiaqi W. Ma; Tong Zhang 001 (CoRR, 2025)

Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods. - Yifan Hao 002; Xingyuan Pan; Hanning Zhang; Chenlu Ye; Rui Pan 002; Tong Zhang 001 (CoRR, 2025)

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models. - Yifan Hao 002; Chenlu Ye; Chi Han; Tong Zhang 001 (CoRR, 2025)