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Stochastic Block BFGS: Squeezing More Curvature out of Data.

, , and . ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 1869-1878. JMLR.org, (2016)

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