Lin, Sen

18 publications

TMLR 2026 Towards Fast Safe Online Reinforcement Learning via Policy Finetuning Keru Chen, Honghao Wei, Zhigang Deng, Sen Lin

CPAL 2025 AdaProx: A Novel Method for Bilevel Optimization Under Pessimistic Framework Ziwei Guan, Daouda Sow, Sen Lin, Yingbin Liang

ICLR 2025 Theory on Mixture-of-Experts in Continual Learning Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness Shroff

ICML 2025 Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness Shroff

CPAL 2024 Algorithm Design for Online Meta-Learning with Task Boundary Detection Daouda Sow, Sen Lin, Yingbin Liang, Junshan Zhang

IJCAI 2024 Discriminative Feature Decoupling Enhancement for Speech Forgery Detection Yijun Bei, Xing Zhou, Erteng Liu, Yang Gao, Sen Lin, Kewei Gao, Zunlei Feng

ICLR 2024 Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang

ICML 2024 How to Leverage Diverse Demonstrations in Offline Imitation Learning Sheng Yue, Jiani Liu, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang

ICML 2024 OLLIE: Imitation Learning from Offline Pretraining to Online Finetuning Sheng Yue, Xingyuan Hua, Ju Ren, Sen Lin, Junshan Zhang, Yaoxue Zhang

ICLR 2023 CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang

ICMLW 2023 Kernelized Offline Contextual Dueling Bandits Viraj Mehta, Ojash Neopane, Vikramjeet Das, Sen Lin, Jeff Schneider, Willie Neiswanger

NeurIPS 2023 Non-Convex Bilevel Optimization with Time-Varying Objective Functions Sen Lin, Daouda Sow, Kaiyi Ji, Yingbin Liang, Ness Shroff

ICML 2023 Theory on Forgetting and Generalization of Continual Learning Sen Lin, Peizhong Ju, Yingbin Liang, Ness Shroff

ICML 2023 Warm-Start Actor-Critic: From Approximation Error to Sub-Optimality Gap Hang Wang, Sen Lin, Junshan Zhang

NeurIPS 2022 Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

ICLR 2022 Model-Based Offline Meta-Reinforcement Learning with Regularization Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang

ICLR 2022 TRGP: Trust Region Gradient Projection for Continual Learning Sen Lin, Li Yang, Deliang Fan, Junshan Zhang

NeurIPS 2021 Adaptive Ensemble Q-Learning: Minimizing Estimation Bias via Error Feedback Hang Wang, Sen Lin, Junshan Zhang