Obtaining fairness using optimal transport theory P Gordaliza, E Del Barrio, G Fabrice, JM Loubes International Conference on Machine Learning, 2357-2365, 2019 | 106 | 2019 |
A central limit theorem for Lp transportation cost on the real line with application to fairness assessment in machine learning E Del Barrio, P Gordaliza, JM Loubes Information and Inference: A Journal of the IMA 8 (4), 817-849, 2019 | 22 | 2019 |
A survey of bias in machine learning through the prism of statistical parity P Besse, E del Barrio, P Gordaliza, JM Loubes, L Risser The American Statistician 76 (2), 188-198, 2022 | 19 | 2022 |
Central limit theorem and bootstrap procedure for Wasserstein’s variations with an application to structural relationships between distributions E Del Barrio, P Gordaliza, H Lescornel, JM Loubes Journal of Multivariate Analysis 169, 341-362, 2019 | 19 | 2019 |
Review of mathematical frameworks for fairness in machine learning E del Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv:2005.13755, 2020 | 16 | 2020 |
Confidence intervals for testing disparate impact in fair learning P Besse, E del Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv:1807.06362, 2018 | 8 | 2018 |
Airports: Análisis de eficiencia operacional basado en trayectorias de vuelo A Alonso-Isla, PC Álvarez-Esteban, A Bregón, L D’Alto, F Díaz, I García, ... Actas de las XXIII Jornadas de Ingenieria del Software y Bases de Datos, JISBD, 2018 | 4 | 2018 |
Fair learning: une approche basée sur le transport optimale P Gordaliza Pastor Université de Toulouse, Université Toulouse III-Paul Sabatier, 2020 | | 2020 |
Fair Learning: an optimal transport based approach P Gordaliza Pastor | | 2020 |
Clasificación no supervisada de datos funcionales: una aplicación a la clasificación con datos de navegación aérea P Gordaliza Pastor | | 2017 |
Baricentros en el espacio de Wasserstein: aplicación a modelos estadísticos de deformación P Gordaliza Pastor | | 2016 |
Application du Transport Optimal en Fair Learning P Gordaliza, E del Barrio, JM Loubes | | |