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Divide and Conquer Kernel Ridge Regression., , и . COLT, том 30 из JMLR Workshop and Conference Proceedings, стр. 592-617. JMLR.org, (2013)Modeling simple structures and geometry for better stochastic optimization algorithms., и . AISTATS, том 89 из Proceedings of Machine Learning Research, стр. 2425-2434. PMLR, (2019)MLbase: A Distributed Machine-learning System., , , , , и . CIDR, www.cidrdb.org, (2013)Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences., и . NIPS, стр. 2208-2216. (2016)Subspace Recovery from Heterogeneous Data with Non-isotropic Noise., , , и . NeurIPS, (2022)Privacy Aware Learning., , и . NIPS, стр. 1439-1447. (2012)A Pretty Fast Algorithm for Adaptive Private Mean Estimation., , и . COLT, том 195 из Proceedings of Machine Learning Research, стр. 2511-2551. PMLR, (2023)Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care., , и . NIPS, стр. 1531-1539. (2015)Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation., , , , и . NeurIPS, стр. 9849-9860. (2018)Large-Scale Methods for Distributionally Robust Optimization., , , и . NeurIPS, (2020)