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Stochastic algorithms for entropy-regularized optimal transport problems., и . AISTATS, том 84 из Proceedings of Machine Learning Research, стр. 1505-1512. PMLR, (2018)SP2: A Second Order Stochastic Polyak Method., , , , и . CoRR, (2022)Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization., , , и . NeurIPS, стр. 1626-1636. (2018)SP2 : A Second Order Stochastic Polyak Method., , , , и . ICLR, OpenReview.net, (2023)SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 1315-1323. PMLR, (2021)Directional Smoothness and Gradient Methods: Convergence and Adaptivity., , , , и . CoRR, (2024)The Power of Factorial Powers: New Parameter settings for (Stochastic) Optimization., и . ACML, том 157 из Proceedings of Machine Learning Research, стр. 49-64. PMLR, (2021)Stochastic Block BFGS: Squeezing More Curvature out of Data., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1869-1878. JMLR.org, (2016)Optimal Mini-Batch and Step Sizes for SAGA., , и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 2142-2150. PMLR, (2019)On Adaptive Sketch-and-Project for Solving Linear Systems., , , и . SIAM J. Matrix Anal. Appl., 42 (2): 954-989 (2021)