Eustasio del Barrio

According to our database, Eustasio del Barrio authored at least 18 papers between 2007 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., December, 2023

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., September, 2023

2021

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Box-Constrained Monotone Approximations to Lipschitz Regularizations, with Applications to Robust Testing.

Eustasio del Barrio, Hristo Inouzhe, Carlos Matrán

J. Optim. Theory Appl., 2020

The statistical effect of entropic regularization in optimal transportation.

Eustasio del Barrio, Jean-Michel Loubes

CoRR, 2020

Review of Mathematical frameworks for Fairness in Machine Learning.

Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes

CoRR, 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

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

2019

Robust clustering tools based on optimal transportation.

Eustasio del Barrio, Juan Antonio Cuesta-Albertos, Carlos Matrán, Agustín Mayo-Íscar

Stat. Comput., 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

Attraction-Repulsion clustering with applications to fairness.

Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes

CoRR, 2019

Obtaining Fairness using Optimal Transport Theory.

Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Confidence Intervals for Testing Disparate Impact in Fair Learning.

Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes

CoRR, 2018

2013

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

2012

Letter to the editor.

Juan Antonio Cuesta-Albertos, Eustasio del Barrio, Ricardo Fraiman, Carlos Matrán

J. Multivar. Anal., 2012

2010

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

2007

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