| Obtaining fairness using optimal transport theory P Gordaliza, E Del Barrio, G Fabrice, JM Loubes International conference on machine learning, 2357-2365, 2019 | 209 | 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 | 65 | 2022 |
| Review of mathematical frameworks for fairness in machine learning E Del Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv:2005.13755, 2020 | 43 | 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 | 39 | 2019 |
| Interaction with a hand rehabilitation exoskeleton in EMG-driven bilateral therapy: Influence of visual biofeedback on the users’ performance A Cisnal, P Gordaliza, J Pérez Turiel, JC Fraile Sensors 23 (4), 2048, 2023 | 27 | 2023 |
| 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 | 25 | 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 | 19 | 2018 |
| 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 …, 0 | 14 | |
| Preserving the fairness guarantees of classifiers in changing environments: a survey A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto ACM Computing Surveys 57 (6), 1-32, 2025 | 8 | 2025 |
| Review of mathematical frameworks for fairness in machine learning E Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv, 2005 | 6 | 2005 |
| A survey on preserving fairness guarantees in changing environments A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto arXiv preprint arXiv:2211.07530, 2022 | 5 | 2022 |
| 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 |
| 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 | 3 | 2024 |
| Fair kernel regression through cross-covariance operators A Perez-Suay, P Gordaliza, JM Loubes, D Sejdinovic, G Camps-Valls Transactions on Machine Learning Research, 2023 | 3 | 2023 |
| Uncertainty in fairness assessment: Maintaining stable conclusions despite fluctuations A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto arXiv preprint arXiv:2302.01079, 2023 | 2 | 2023 |
| 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 |
| PLS-based approach for fair representation learning EM De-Diego, A Perez-Suay, P Gordaliza, JM Loubes arXiv preprint arXiv:2502.16263, 2025 | | 2025 |
| Dancing in the Shadows: Harnessing Ambiguity for Fairer Classifiers A Barrainkua, P Gordaliza, JA Lozano, N Quadrianto arXiv preprint arXiv:2406.19066, 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 |
| Making data fair through optimal trimmed matching H Inouzhe, P Gordaliza Pastor Springer, 2022 | | 2022 |
