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SGD with Arbitrary Sampling: General Analysis and Improved Rates., , , , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 5200-5209. PMLR, (2019)Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize., , , and . CoRR, (2021)A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games., , , , , , , and . CoRR, (2022)A Unified Theory of Decentralized SGD with Changing Topology and Local Updates., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 5381-5393. PMLR, (2020)Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity., , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 366-402. PMLR, (2022)On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging., , , , , , and . AISTATS, volume 151 of Proceedings of Machine Learning Research, page 9793-9826. PMLR, (2022)Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities., , and . CoRR, (2024)Randomized Iterative Methods for Linear Systems: Momentum, Inexactness and Gossip.. CoRR, (2019)Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods., , , and . CoRR, (2022)AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods., , , and . CoRR, (2021)