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On the Acceleration of the Sinkhorn and Greenkhorn Algorithms for Optimal Transport., , and . CoRR, (2019)On Efficient Optimal Transport: An Analysis of Greedy and Accelerated Mirror Descent Algorithms., , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 3982-3991. PMLR, (2019)On Projection Robust Optimal Transport: Sample Complexity and Model Misspecification, , , , and . (2020)cite arxiv:2006.12301Comment: Correct some typos; 46 Pages, 41 figures.Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling., , , and . J. Mach. Learn. Res., (2022)On the Efficiency of Entropic Regularized Algorithms for Optimal Transport., , and . J. Mach. Learn. Res., (2022)Sparsemax and Relaxed Wasserstein for Topic Sparsity., , and . CoRR, (2018)A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport., , and . CoRR, (2023)Distributed Linearized Alternating Direction Method of Multipliers for Composite Convex Consensus Optimization., , , and . IEEE Trans. Autom. Control., 63 (1): 5-20 (2018)Curvature-Independent Last-Iterate Convergence for Games on Riemannian Manifolds., , , , and . CoRR, (2023)Optimal No-Regret Learning in Strongly Monotone Games with Bandit Feedback., , , and . CoRR, (2021)