Chenlu Ye - RankMe

26 papers A* 8Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL. CoRR Chenlu Ye, Xuanchang Zhang, Yifan Hao, Zhou Yu, Ziji Zhang, Abhinav Gullapalli, Hao Chen, Jing Huang, Tong Zhang
2025	J	`jnl`	Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training. CoRR Chenlu Ye, Zhou Yu, Ziji Zhang, Hao Chen, Narayanan Sadagopan, Jing Huang, Tong Zhang, Anurag Beniwal
2025	A*	`conf`	Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. ICML Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang
2025	J	`jnl`	Catoni Contextual Bandits are Robust to Heavy-tailed Rewards. CoRR Chenlu Ye, Yujia Jin, Alekh Agarwal, Tong Zhang
2025	J	`jnl`	Daunce: Data Attribution through Uncertainty Estimation. CoRR Xingyuan Pan, Chenlu Ye, Joseph Melkonian, Jiaqi W. Ma, Tong Zhang
2025	A*	`conf`	Logarithmic Regret for Online KL-Regularized Reinforcement Learning. ICML Heyang Zhao, Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang
2025	J	`jnl`	Logarithmic Regret for Online KL-Regularized Reinforcement Learning. CoRR Heyang Zhao, Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang
2025	J	`jnl`	Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. J. Mach. Learn. Res. Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2025	J	`jnl`	Reinforce-Ada: An Adaptive Sampling Framework for Reinforce-Style LLM Training. CoRR Wei Xiong, Chenlu Ye, Baohao Liao, Hanze Dong, Xinxing Xu, Christof Monz, Jiang Bian, Nan Jiang, Tong Zhang
2025	J	`jnl`	Self-rewarding correction for mathematical reasoning. CoRR Wei Xiong, Hanning Zhang, Chenlu Ye, Lichang Chen, Nan Jiang, Tong Zhang
2025	J	`jnl`	Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models. CoRR Yifan Hao, Chenlu Ye, Chi Han, Tong Zhang
2025	A*	`conf`	Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods. ICML Yifan Hao, Xingyuan Pan, Hanning Zhang, Chenlu Ye, Rui Pan, Tong Zhang
2025	J	`jnl`	Understanding Overadaptation in Supervised Fine-Tuning: The Role of Ensemble Methods. CoRR Yifan Hao, Xingyuan Pan, Hanning Zhang, Chenlu Ye, Rui Pan, Tong Zhang
2024	J	`jnl`	A Theoretical Analysis of Nash Learning from Human Feedback under General KL-Regularized Preference. CoRR Chenlu Ye, Wei Xiong, Yuheng Zhang, Nan Jiang, Tong Zhang
2024	A*	`conf`	Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint. ICML Wei Xiong, Hanze Dong, Chenlu Ye, Ziqi Wang, Han Zhong, Heng Ji, Nan Jiang, Tong Zhang
2024	A*	`conf`	Online Iterative Reinforcement Learning from Human Feedback with General Preference Model. NeurIPS Chenlu Ye, Wei Xiong, Yuheng Zhang, Hanze Dong, Nan Jiang, Tong Zhang
2024	J	`jnl`	Sharp Analysis for KL-Regularized Contextual Bandits and RLHF. CoRR Heyang Zhao, Chenlu Ye, Quanquan Gu, Tong Zhang
2024	A*	`conf`	Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. ICML Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang
2024	J	`jnl`	Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption. CoRR Chenlu Ye, Jiafan He, Quanquan Gu, Tong Zhang
2023	A*	`conf`	Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. ICML Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang
2023	A*	`conf`	Corruption-Robust Offline Reinforcement Learning with General Function Approximation. NeurIPS Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang
2023	J	`jnl`	Corruption-Robust Offline Reinforcement Learning with General Function Approximation. CoRR Chenlu Ye, Rui Yang, Quanquan Gu, Tong Zhang
2023	J	`jnl`	Gibbs Sampling from Human Feedback: A Provable KL- constrained Framework for RLHF. CoRR Wei Xiong, Hanze Dong, Chenlu Ye, Han Zhong, Nan Jiang, Tong Zhang
2023	J	`jnl`	Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning. CoRR Yong Lin, Chen Liu, Chenlu Ye, Qing Lian, Yuan Yao, Tong Zhang
2023	J	`jnl`	Provably Efficient High-Dimensional Bandit Learning with Batched Feedbacks. CoRR Jianqing Fan, Zhaoran Wang, Zhuoran Yang, Chenlu Ye
2022	J	`jnl`	Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes. CoRR Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang