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Spectral Dimensionality Reduction., , , , , и . Feature Extraction, том 207 из Studies in Fuzziness and Soft Computing, Springer, (2006)Deep Language Networks: Joint Prompt Training of Stacked LLMs using Variational Inference., , , , , , , , и . CoRR, (2023)Target-based Surrogates for Stochastic Optimization., , , , и . CoRR, (2023)An operator view of policy gradient methods., , и . NeurIPS, (2020)On the interplay between noise and curvature and its effect on optimization and generalization., , , , , и . AISTATS, том 108 из Proceedings of Machine Learning Research, стр. 3503-3513. PMLR, (2020)Beyond variance reduction: Understanding the true impact of baselines on policy optimization., , , и . CoRR, (2020)Batch Reinforcement Learning Through Continuation Method., , , , , и . ICLR, OpenReview.net, (2021)A Stochastic Gradient Method with an Exponential Convergence Rate for Finite Training Sets., , и . NIPS, стр. 2672-2680. (2012)Distributed SAGA: Maintaining linear convergence rate with limited communication., и . CoRR, (2017)Deep Belief Networks Are Compact Universal Approximators., и . Neural Comput., 22 (8): 2192-2207 (2010)