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On the interplay between noise and curvature and its effect on optimization and generalization., , , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 3503-3513. PMLR, (2020)Target-based Surrogates for Stochastic Optimization., , , , and . CoRR, (2023)Spectral Dimensionality Reduction., , , , , and . Feature Extraction, volume 207 of Studies in Fuzziness and Soft Computing, Springer, (2006)Batch Reinforcement Learning Through Continuation Method., , , , , and . ICLR, OpenReview.net, (2021)An operator view of policy gradient methods., , and . NeurIPS, (2020)A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets., , and . NIPS, page 2672-2680. (2012)Erratum to: Minimizing finite sums with the stochastic average gradient., , and . Math. Program., 162 (1-2): 113 (2017)Negative eigenvalues of the Hessian in deep neural networks., , and . ICLR (Workshop), OpenReview.net, (2018)Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods., , and . AISTATS, volume 84 of Proceedings of Machine Learning Research, page 707-715. PMLR, (2018)An Effective Anti-Aliasing Approach for Residual Networks., , , , and . CoRR, (2020)