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Last-Iterate Convergence: Zero-Sum Games and Constrained Min-Max Optimization., и . ITCS, том 124 из LIPIcs, стр. 27:1-27:18. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)On the Analysis of EM for truncated mixtures of two Gaussians., и . ALT, том 117 из Proceedings of Machine Learning Research, стр. 634-659. PMLR, (2020)Evolutionary Dynamics in Finite Populations Mix Rapidly., , и . SODA, стр. 480-497. SIAM, (2016)Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property., , , и . AAAI, стр. 9451-9459. AAAI Press, (2024)Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of Attraction., и . EC, стр. 703-720. ACM, (2016)Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games., , , и . NeurIPS, (2022)Multiplicative Weights Updates as a distributed constrained optimization algorithm: Convergence to second-order stationary points almost always., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4961-4969. PMLR, (2019)Combinatorial Algorithms for Matching Markets via Nash Bargaining: One-Sided, Two-Sided and Non-Bipartite., , и . CoRR, (2021)Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes., , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1441-1449. PMLR, (2021)Fast Convergence of Langevin Dynamics on Manifold: Geodesics meet Log-Sobolev., , и . NeurIPS, (2020)