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Accelerating Inexact HyperGradient Descent for Bilevel Optimization., , , and . CoRR, (2023)Batch Size Matters: A Diffusion Approximation Framework on Nonconvex Stochastic Gradient Descent., , , and . CoRR, (2017)Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium., , , and . CoRR, (2022)On the Convergence of Stochastic Extragradient for Bilinear Games with Restarted Iteration Averaging., , , , , , and . CoRR, (2021)Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 20351-20383. PMLR, (2023)Stochastic Approximation for Online Tensorial Independent Component Analysis., and . COLT, volume 134 of Proceedings of Machine Learning Research, page 3051-3106. PMLR, (2021)Online Multiview Representation Learning: Dropping Convexity for Better Efficiency., , , and . CoRR, (2017)Stochastic Approximation for Online Tensorial Independent Component Analysis., and . CoRR, (2020)A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning., , , , and . ICLR, OpenReview.net, (2023)Efficient Smooth Non-Convex Stochastic Compositional Optimization via Stochastic Recursive Gradient Descent., , , , and . NeurIPS, page 6926-6935. (2019)