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Stochastic Optimization for Multiview Representation Learning using Partial Least Squares., , и . ICML, том 48 из JMLR Workshop and Conference Proceedings, стр. 1786-1794. JMLR.org, (2016)On Dropout and Nuclear Norm Regularization., и . ICML, том 97 из Proceedings of Machine Learning Research, стр. 4575-4584. PMLR, (2019)Private Stochastic Convex Optimization: Efficient Algorithms for Non-smooth Objectives., , и . CoRR, (2020)Machine Unlearning via Algorithmic Stability., , , , и . COLT, том 134 из Proceedings of Machine Learning Research, стр. 4126-4142. PMLR, (2021)Differentially Private Generalized Linear Models Revisited., , , , и . NeurIPS, (2022)FetchSGD: Communication-Efficient Federated Learning with Sketching., , , , , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 8253-8265. PMLR, (2020)Corralling Stochastic Bandit Algorithms., , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 2116-2124. PMLR, (2021)On Convergence and Generalization of Dropout Training., и . NeurIPS, (2020)Accelerated Mini-batch Randomized Block Coordinate Descent Method., , , , и . NIPS, стр. 3329-3337. (2014)The Physical Systems Behind Optimization Algorithms., , , и . NeurIPS, стр. 4377-4386. (2018)