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Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise.

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Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise., , , , , and . CoRR, (2019)Probability and Pathwise Order of Convergence of a Semidiscrete Scheme for the Stochastic Manakov Equation.. SIAM J. Numerical Analysis, 52 (1): 533-553 (2014)Bloch Theory and Spectral Gaps for Linearized Water Waves., , , and . SIAM J. Math. Anal., 50 (5): 5477-5501 (2018)An Empirical Study of Stochastic Gradient Descent with Structured Covariance Noise., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3621-3631. PMLR, (2020)A general system of differential equations to model first order adaptive algorithms., and . CoRR, (2018)In-context Reinforcement Learning with Algorithm Distillation., , , , , , , , , and 4 other author(s). ICLR, OpenReview.net, (2023)Vision-Language Models as a Source of Rewards., , , , , , , , , and 16 other author(s). CoRR, (2023)Scalable Recommender Systems through Recursive Evidence Chains., , , , and . CoRR, (2018)A General System of Differential Equations to Model First-Order Adaptive Algorithms., and . J. Mach. Learn. Res., (2020)Learning to Efficiently Propagate for Reasoning on Knowledge Graphs., , , , , and . CoRR, (2022)