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Obtaining Fairness using Optimal Transport Theory., , , and . ICML, volume 97 of Proceedings of Machine Learning Research, page 2357-2365. PMLR, (2019)Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions., , , and . J. Multivar. Anal., (2019)Assessing when a sample is mostly normal., , , and . Comput. Stat. Data Anal., 54 (12): 2914-2925 (2010)An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs., , , and . SIAM J. Math. Data Sci., 5 (3): 639-669 (September 2023)An improved central limit theorem and fast convergence rates for entropic transportation costs., , , and . CoRR, (2022)Asymptotic stability of the bootstrap sample mean, , and . Stochastic Processes and their Applications, 97 (2): 289--306 (February 2002)Robust clustering tools based on optimal transportation., , , and . Stat. Comput., 29 (1): 139-160 (2019)Searching for a common pooling pattern among several samples., , , and . Comput. Stat. Data Anal., (2013)A note on the regularity of optimal-transport-based center-outward distribution and quantile functions., , and . J. Multivar. Anal., (2020)The random projection method in goodness of fit for functional data., , , and . Comput. Stat. Data Anal., 51 (10): 4814-4831 (2007)