Obtaining fairness using optimal transport theory P Gordaliza, E Del Barrio, G Fabrice, JM Loubes International conference on machine learning, 2357-2365, 2019 | 168 | 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 | 53 | 2022 |
Review of mathematical frameworks for fairness in machine learning E Del Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv:2005.13755, 2020 | 41 | 2020 |
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 | 33 | 2019 |
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 | 24 | 2019 |
Confidence intervals for testing disparate impact in fair learning P Besse, E del Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv:1807.06362, 2018 | 13 | 2018 |
Eustasio Del Barrio, Gamboa Fabrice, and Jean-Michel Loubes. 2019. Obtaining fairness using optimal transport theory P Gordaliza International Conference on Machine Learning. PMLR, 2357-2365, 0 | 13 | |
Review of mathematical frameworks for fairness in machine learning E Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv:2005.13755, 41, 2020 | 5 | 2020 |
Airports: Análisis de eficiencia operacional basado en trayectorias de vuelo A Alonso-Isla, PC Álvarez-Esteban, A Bregón, L D’Alto, F Dıaz, I Garcıa, ... URL: https://biblioteca. sistedes. es/submissions/descargas/2018/JISBD/2018 …, 2017 | 5 | 2017 |
A survey on preserving fairness guarantees in changing environments A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto arXiv preprint arXiv:2211.07530, 2022 | 3 | 2022 |
Making data fair through optimal trimmed matching P Gordaliza, H Inouzhe International Conference on Soft Methods in Probability and Statistics, 194-199, 2022 | 2 | 2022 |
Fair Kernel Regression through Cross-Covariance Operators A Pérez-Suay, P Gordaliza, JM Loubes, D Sejdinovic, G Camps-Valls Transactions on Machine Learning Research, 2023 | 1 | 2023 |
Uncertainty Matters: Stable Conclusions under Unstable Assessment of Fairness Results A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto International Conference on Artificial Intelligence and Statistics, 1198-1206, 2024 | | 2024 |
A study on group fairness in healthcare outcomes for nursing home residents during the COVID-19 pandemic in the Basque Country H Inouzhe, I Barrio, P Gordaliza, MX Rodríguez-Álvarez, I Bengoechea, ... arXiv preprint arXiv:2306.09711, 2023 | | 2023 |
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto arXiv preprint arXiv:2302.01079, 2023 | | 2023 |
Preserving the fairness guarantees of classifiers in changing environments: a survey A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto ACM Computing Surveys, 2023 | | 2023 |
Fair Learning: an optimal transport based approach PG Pastor Université Paul Sabatier-Toulouse III; Universidad de Valladolid …, 2020 | | 2020 |
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 Fair learning: an optimal transport based approach, 2020 | | 2020 |
Fair Learning: an optimal transport based approach P Gordaliza Pastor | | 2020 |