A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning. - Zixiang Chen; Chris Junchi Li; Angela Yuan; Quanquan Gu; Michael I. Jordan (CoRR, 2022)

Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization. - Chris Junchi Li; Angela Yuan; Gauthier Gidel; Michael I. Jordan (CoRR, 2022)

Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure. - Angela Yuan; Chris Junchi Li; Gauthier Gidel; Michael I. Jordan; Quanquan Gu; Simon S. Du (NeurIPS, 2023)