Communication-Efficient Distributed Optimization in Networks with Gradient Tracking. - Boyue Li; Shicong Cen; Yuxin Chen 002; Yuejie Chi (CoRR, 2019)

A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization. - Andre Milzarek; Xiantao Xiao; Shicong Cen; Zaiwen Wen; Michael Ulbrich (SIAM J. Optim., 2019)

Communication-Efficient Distributed Optimization in Networks with Gradient Tracking and Variance Reduction. - Boyue Li; Shicong Cen; Yuxin Chen 002; Yuejie Chi (J. Mach. Learn. Res., 2020)

Convergence of Distributed Stochastic Variance Reduced Methods Without Sampling Extra Data. - Shicong Cen; Huishuai Zhang; Yuejie Chi; Wei Chen 034; Tie-Yan Liu (IEEE Trans. Signal Process., 2020)

Independent Natural Policy Gradient Methods for Potential Games: Finite-time Global Convergence with Entropy Regularization. - Shicong Cen; Fan Chen 006; Yuejie Chi (CDC, 2022)

Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization. - Shicong Cen; Chen Cheng; Yuxin Chen 002; Yuting Wei 001; Yuejie Chi (Oper. Res., 2022)

Asynchronous Gradient Play in Zero-Sum Multi-agent Games. - Ruicheng Ao; Shicong Cen; Yuejie Chi (ICLR, 2023)

Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games. - Shicong Cen; Yuejie Chi; Simon Shaolei Du; Lin Xiao (ICLR, 2023)

Global Convergence of Policy Gradient Methods in Reinforcement Learning, Games and Control. - Shicong Cen; Yuejie Chi (CoRR, 2023)

Federated Natural Policy Gradient Methods for Multi-task Reinforcement Learning. - Tong Yang 007; Shicong Cen; Yuting Wei 001; Yuxin Chen 002; Yuejie Chi (CoRR, 2023)

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence. - Wenhao Zhan; Shicong Cen; Baihe Huang; Yuxin Chen 002; Jason D. Lee; Yuejie Chi (SIAM J. Optim., 2023)

Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning. - Tong Yang 007; Shicong Cen; Yuting Wei 001; Yuxin Chen 002; Yuejie Chi (NeurIPS, 2024)

Beyond Expectations: Learning with Stochastic Dominance Made Practical. - Shicong Cen; Jincheng Mei; Hanjun Dai; Dale Schuurmans; Yuejie Chi; Bo Dai 001 (CoRR, 2024)

Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. - Tong Yang 007; Jincheng Mei; Hanjun Dai; Zixin Wen; Shicong Cen; Dale Schuurmans; Yuejie Chi; Bo Dai 001 (CoRR, 2024)

Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization. - Shicong Cen; Yuting Wei 001; Yuejie Chi (J. Mach. Learn. Res., 2024)

Faster WIND: Accelerating Iterative Best-of-N Distillation for LLM Alignment. - Tong Yang 007; Jincheng Mei; Hanjun Dai; Zixin Wen; Shicong Cen; Dale Schuurmans; Yuejie Chi; Bo Dai 001 (AISTATS, 2025)

Value-Incentivized Preference Optimization: A Unified Approach to Online and Offline RLHF. - Shicong Cen; Jincheng Mei; Katayoon Goshvadi; Hanjun Dai; Tong Yang 007; Sherry Yang 001; Dale Schuurmans; Yuejie Chi; Bo Dai 001 (ICLR, 2025)