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Paula Gordaliza
Paula Gordaliza
Verified email at math.univ-toulouse.fr
Title
Cited by
Cited by
Year
Obtaining fairness using optimal transport theory
P Gordaliza, E Del Barrio, G Fabrice, JM Loubes
International conference on machine learning, 2357-2365, 2019
1612019
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
432022
Review of mathematical frameworks for fairness in machine learning
E Del Barrio, P Gordaliza, JM Loubes
arXiv preprint arXiv:2005.13755, 2020
402020
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
312019
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
242019
Confidence intervals for testing disparate impact in fair learning
P Besse, E del Barrio, P Gordaliza, JM Loubes
arXiv preprint arXiv:1807.06362, 2018
112018
Eustasio Del Barrio, Gamboa Fabrice, and Jean-Michel Loubes. 2019. Obtaining fairness using optimal transport theory
P Gordaliza
Proceedings of the 36th International Conference on Machine Learning, 2357-2365, 0
10
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, ...
URL: https://biblioteca. sistedes. es/submissions/descargas/2018/JISBD/2018 …, 2017
52017
A Survey on Preserving Fairness Guarantees in Changing Environments
A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto
arXiv preprint arXiv:2211.07530, 2022
22022
Making Data Fair Through Optimal Trimmed Matching
P Gordaliza, H Inouzhe
International Conference on Soft Methods in Probability and Statistics, 194-199, 2022
22022
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
12023
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 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
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