Shicong Cen - RankMe

28 papers A* 5A 2Journal 20Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Expectations: Learning with Stochastic Dominance Made Practical. Trans. Mach. Learn. Res. Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2025	A	`conf`	Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. AISTATS Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2025	A*	`conf`	Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. ICLR Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	J	`jnl`	Beyond Expectations: Learning with Stochastic Dominance Made Practical. CoRR Shicong Cen, Jincheng Mei, Hanjun Dai, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	J	`jnl`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. J. Mach. Learn. Res. Shicong Cen, Yuting Wei, Yuejie Chi
2024	J	`jnl`	Faster WIND: Accelerating Iterative Best-of- CoRR Tong Yang, Jincheng Mei, Hanjun Dai, Zixin Wen, Shicong Cen, Dale Schuurmans, Yuejie Chi, Bo Dai
2024	A*	`conf`	Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning. NeurIPS Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2024	J	`jnl`	Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. CoRR Shicong Cen, Jincheng Mei, Katayoon Goshvadi, Hanjun Dai, Tong Yang, Sherry Yang, Dale Schuurmans, Yuejie Chi, Bo Dai
2023	A*	`conf`	Asynchronous Gradient Play in Zero-Sum Multi-agent Games. ICLR Ruicheng Ao, Shicong Cen, Yuejie Chi
2023	A*	`conf`	Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. ICLR Shicong Cen, Yuejie Chi, Simon Shaolei Du, Lin Xiao
2023	J	`jnl`	Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. CoRR Tong Yang, Shicong Cen, Yuting Wei, Yuxin Chen, Yuejie Chi
2023	J	`jnl`	Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control. CoRR Shicong Cen, Yuejie Chi
2023	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. SIAM J. Optim. Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2022	J	`jnl`	Asynchronous Gradient Play in Zero-Sum Multi-agent Games. CoRR Ruicheng Ao, Shicong Cen, Yuejie Chi
2022	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. Oper. Res. Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2022	J	`jnl`	Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. CoRR Shicong Cen, Yuejie Chi, Simon S. Du, Lin Xiao
2022	—	`conf`	Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CDC Shicong Cen, Fan Chen, Yuejie Chi
2022	J	`jnl`	Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. CoRR Shicong Cen, Fan Chen, Yuejie Chi
2021	A*	`conf`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. NeurIPS Shicong Cen, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. CoRR Shicong Cen, Yuting Wei, Yuejie Chi
2021	J	`jnl`	Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. CoRR Wenhao Zhan, Shicong Cen, Baihe Huang, Yuxin Chen, Jason D. Lee, Yuejie Chi
2020	A	`conf`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. AISTATS Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2020	J	`jnl`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. J. Mach. Learn. Res. Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2020	J	`jnl`	Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data. IEEE Trans. Signal Process. Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu
2020	J	`jnl`	Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. CoRR Shicong Cen, Chen Cheng, Yuxin Chen, Yuting Wei, Yuejie Chi
2019	J	`jnl`	A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. SIAM J. Optim. Andre Milzarek, Xiantao Xiao, Shicong Cen, Zaiwen Wen, Michael Ulbrich
2019	J	`jnl`	Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. CoRR Boyue Li, Shicong Cen, Yuxin Chen, Yuejie Chi
2019	J	`jnl`	Convergence of Distributed Stochastic Variance Reduced Methods without Sampling Extra Data. CoRR Shicong Cen, Huishuai Zhang, Yuejie Chi, Wei Chen, Tie-Yan Liu