Ye, Chenlu

11 publications

ICML 2025 Catoni Contextual Bandits Are Robust to Heavy-Tailed Rewards Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang

ICML 2025 Logarithmic Regret for Online KL-Regularized Reinforcement Learning Heyang Zhao, Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang

JMLR 2025 Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang

NeurIPS 2025 Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao, Chenlu Ye, Quanquan Gu, Tong Zhang

ICML 2025 Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods Yifan Hao, Xingyuan Pan, Hanning Zhang, Chenlu Ye, Rui Pan, Tong Zhang

ICML 2024 Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF Under KL-Constraint Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang

NeurIPS 2024 Online Iterative Reinforcement Learning from Human Feedback with General Preference Model Chenlu Ye, Wei Xiong, Yuheng Zhang, Hanze Dong, Nan Jiang, Tong Zhang

NeurIPSW 2024 Sharp Analysis for KL-Regularized Contextual Bandits and RLHF Heyang Zhao, Chenlu Ye, Quanquan Gu, Tong Zhang

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

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

NeurIPS 2023 Corruption-Robust Offline Reinforcement Learning with General Function Approximation Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang