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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)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)Assessing when a sample is mostly normal., , , and . Comput. Stat. Data Anal., 54 (12): 2914-2925 (2010)Confidence Intervals for Testing Disparate Impact in Fair Learning., , , and . CoRR, (2018)The random projection method in goodness of fit for functional data., , , and . Comput. Stat. Data Anal., 51 (10): 4814-4831 (2007)Letter to the editor., , , and . J. Multivar. Anal., 103 (1): 161-162 (2012)optimalFlow: Optimal-transport approach to flow cytometry gating and population matching., , , , and . CoRR, (2019)Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization., , , , , and . CVPR, page 505-514. Computer Vision Foundation / IEEE, (2021)