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Disambiguation of "Li, Chris Junchi"

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On Linear Stochastic Approximation: Fine-grained Polyak-Ruppert and Non-Asymptotic Concentration.

, , , , and . COLT, volume 125 of Proceedings of Machine Learning Research, page 2947-2997. PMLR, (2020)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

Other publications of authors with the same name

Stochastic Modified Equations for Continuous Limit of Stochastic ADMM., , , and . CoRR, (2020)A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning., , , , and . CoRR, (2022)On the Global Convergence of Continuous-Time Stochastic Heavy-Ball Method for Nonconvex Optimization., , and . IEEE BigData, page 94-104. IEEE, (2019)ROOT-SGD: Sharp Nonasymptotics and Asymptotic Efficiency in a Single Algorithm., , , and . COLT, volume 178 of Proceedings of Machine Learning Research, page 909-981. PMLR, (2022)Stochastic Approximation for Online Tensorial Independent Component Analysis., and . COLT, volume 134 of Proceedings of Machine Learning Research, page 3051-3106. PMLR, (2021)Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 20351-20383. PMLR, (2023)Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium., , , and . CoRR, (2022)Stochastic Approximation for Online Tensorial Independent Component Analysis., and . CoRR, (2020)Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent., , , , and . NeurIPS, page 6926-6935. (2019)SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator., , , and . NeurIPS, page 687-697. (2018)