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Chris Junchi Li

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Accelerating Inexact HyperGradient Descent for Bilevel Optimization

Jun 30, 2023
Haikuo Yang, Luo Luo, Chris Junchi Li, Michael I. Jordan

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Nesterov Meets Optimism: Rate-Optimal Optimistic-Gradient-Based Method for Stochastic Bilinearly-Coupled Minimax Optimization

Oct 31, 2022
Chris Junchi Li, Angela Yuan, Gauthier Gidel, Michael I. Jordan

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A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning

Sep 30, 2022
Zixiang Chen, Chris Junchi Li, Angela Yuan, Quanquan Gu, Michael I. Jordan

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Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium

Aug 10, 2022
Chris Junchi Li, Dongruo Zhou, Quanquan Gu, Michael I. Jordan

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Optimal Extragradient-Based Bilinearly-Coupled Saddle-Point Optimization

Jun 17, 2022
Simon S. Du, Gauthier Gidel, Michael I. Jordan, Chris Junchi Li

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Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems

Jan 24, 2022
Chris Junchi Li, Michael I. Jordan

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On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging

Jun 30, 2021
Chris Junchi Li, Yaodong Yu, Nicolas Loizou, Gauthier Gidel, Yi Ma, Nicolas Le Roux, Michael I. Jordan

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Stochastic Approximation for Online Tensorial Independent Component Analysis

Dec 28, 2020
Chris Junchi Li, Michael I. Jordan

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ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm

Aug 28, 2020
Chris Junchi Li, Wenlong Mou, Martin J. Wainwright, Michael I. Jordan

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