The random projection method in goodness of fit for functional data. - Juan Antonio Cuesta-Albertos; Eustasio del Barrio; Ricardo Fraiman; Carlos Matrán (Comput. Stat. Data Anal., 2007)

Assessing when a sample is mostly normal. - Pedro C. Álvarez-Esteban; Eustasio del Barrio; Juan Antonio Cuesta-Albertos; Carlos Matrán (Comput. Stat. Data Anal., 2010)

Letter to the editor. - Juan Antonio Cuesta-Albertos; Eustasio del Barrio; Ricardo Fraiman; Carlos Matrán (J. Multivar. Anal., 2012)

Searching for a common pooling pattern among several samples. - Pedro C. Álvarez-Esteban; Eustasio del Barrio; Juan Antonio Cuesta-Albertos; Carlos Matrán (Comput. Stat. Data Anal., 2013)

Confidence Intervals for Testing Disparate Impact in Fair Learning. - Philippe C. Besse; Eustasio del Barrio; Paula Gordaliza; Jean-Michel Loubes (CoRR, 2018)

Obtaining Fairness using Optimal Transport Theory. - Paula Gordaliza; Eustasio del Barrio; Fabrice Gamboa; Jean-Michel Loubes (ICML, 2019)

Attraction-Repulsion clustering with applications to fairness. - Eustasio del Barrio; Hristo Inouzhe; Jean-Michel Loubes (CoRR, 2019)

Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions. - Eustasio del Barrio; Paula Gordaliza; Hélène Lescornel; Jean-Michel Loubes (J. Multivar. Anal., 2019)

Robust clustering tools based on optimal transportation. - Eustasio del Barrio; Juan Antonio Cuesta-Albertos; Carlos Matrán; Agustín Mayo-Íscar (Stat. Comput., 2019)

optimalFlow: optimal transport approach to flow cytometry gating and population matching. - Eustasio del Barrio; Hristo Inouzhe; Jean-Michel Loubes; Carlos Matrán; Agustín Mayo-Íscar (BMC Bioinform., 2020)

A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. - Philippe C. Besse; Eustasio del Barrio; Paula Gordaliza; Jean-Michel Loubes; Laurent Risser (CoRR, 2020)

Review of Mathematical frameworks for Fairness in Machine Learning. - Eustasio del Barrio; Paula Gordaliza; Jean-Michel Loubes (CoRR, 2020)

The statistical effect of entropic regularization in optimal transportation. - Eustasio del Barrio; Jean-Michel Loubes (CoRR, 2020)

Box-Constrained Monotone Approximations to Lipschitz Regularizations, with Applications to Robust Testing. - Eustasio del Barrio; Hristo Inouzhe; Carlos Matrán (J. Optim. Theory Appl., 2020)

A note on the regularity of optimal-transport-based center-outward distribution and quantile functions. - Eustasio del Barrio; Alberto González-Sanz; Marc Hallin (J. Multivar. Anal., 2020)

Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. - Mathieu Serrurier; Franck Mamalet; Alberto González-Sanz; Thibaut Boissin; Jean-Michel Loubes; Eustasio del Barrio (CVPR, 2021)

An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs. - Eustasio del Barrio; Alberto González-Sanz; Jean-Michel Loubes; Jonathan Niles-Weed (SIAM J. Math. Data Sci., 2023)

Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering. - Eustasio del Barrio; Hristo Inouzhe; Jean-Michel Loubes (Adv. Data Anal. Classif., 2023)