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Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)., , , , , и . CoRR, (2020)A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games, , , и . (2019)cite arxiv:1906.05945.SEARNN: Training RNNs with global-local losses., , , и . ICLR (Poster), OpenReview.net, (2018)Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields., , и . UAI, стр. 815-824. AUAI Press, (2018)Bayesian structure learning with generative flow networks., , , , , , и . UAI, том 180 из Proceedings of Machine Learning Research, стр. 518-528. PMLR, (2022)Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent - an Open Problem., , , и . CoRR, (2021)Balancing Act: Constraining Disparate Impact in Sparse Models., , , , , и . CoRR, (2023)Conditionally Trained Latent Dirichlet Allocation for Text Modeling and Categorization, , и . (2015)Frank-Wolfe Algorithms for Saddle Point Problems., , и . CoRR, (2016)Negative Momentum for Improved Game Dynamics., , , , , , и . CoRR, (2018)