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Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation., , , , and . AISTATS, volume 108 of Proceedings of Machine Learning Research, page 1375-1386. PMLR, (2020)Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA., , , , and . CoRR, (2021)Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity., , , , and . NeurIPS, page 19095-19108. (2021)Adversarial Example Games., , , , , , and . NeurIPS, (2020)Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates., , , , , and . NeurIPS, page 3727-3740. (2019)On Structured Prediction Theory with Calibrated Convex Surrogate Losses., , and . NIPS, page 302-313. (2017)Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints., , , , and . NeurIPS, (2022)An Analysis of the Adaptation Speed of Causal Models., , , and . AISTATS, volume 130 of Proceedings of Machine Learning Research, page 775-783. PMLR, (2021)A Discriminative Matching Approach to Word Alignment., , and . HLT/EMNLP, page 73-80. The Association for Computational Linguistics, (2005)SEARNN: Training RNNs with global-local losses., , , and . ICLR (Poster), OpenReview.net, (2018)