| Central limit theorems for the Wasserstein distance between the empirical and the true distributions E Del Barrio, E Giné, C Matrán Annals of Probability, 1009-1071, 1999 | 209 | 1999 |
| A fixed-point approach to barycenters in Wasserstein space PC Álvarez-Esteban, E Del Barrio, JA Cuesta-Albertos, C Matrán Journal of Mathematical Analysis and Applications 441 (2), 744-762, 2016 | 196 | 2016 |
| Tests of Goodness of Fit Based on the L2-Wasserstein Distance E Del Barrio, JA Cuesta-Albertos, C Matrán, JM Rodríguez-Rodríguez Annals of Statistics, 1230-1239, 1999 | 188 | 1999 |
| 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 |
| Central limit theorems for empirical transportation cost in general dimension E Del Barrio, JM Loubes | 117 | 2019 |
| Asymptotics for L2 functionals of the empirical quantile process, with applications to tests of fit based on weighted Wasserstein distances E Del Barrio, E Giné, F Utzet Bernoulli 11 (1), 131-189, 2005 | 113 | 2005 |
| Distribution and quantile functions, ranks and signs in dimension d: A measure transportation approach M Hallin, E Del Barrio, J Cuesta-Albertos, C Matrán | 112 | 2021 |
| Contributions of empirical and quantile processes to the asymptotic theory of goodness-of-fit tests E Del Barrio, JA Cuesta-Albertos, C Matrán, S Csörgö, CM Cuadras, ... Test 9, 1-96, 2000 | 96 | 2000 |
| The random projection method in goodness of fit for functional data JA Cuesta-Albertos, E del Barrio, R Fraiman, C Matrán Computational Statistics & Data Analysis 51 (10), 4814-4831, 2007 | 83 | 2007 |
| Lectures on empirical processes: theory and statistical applications E Barrio, P Deheuvels, S Van De Geer EMS Series of Lectures in Mathematics, 2007 | 66 | 2007 |
| Trimmed comparison of distributions PC Alvarez-Esteban, E Del Barrio, JA Cuesta-Albertos, C Matran Journal of the American Statistical Association 103 (482), 697-704, 2008 | 55 | 2008 |
| 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 |
| Uniqueness and approximate computation of optimal incomplete transportation plans PC Álvarez-Esteban, E del Barrio, JA Cuesta-Albertos, C Matrán Annales de l'IHP Probabilités et statistiques 47 (2), 358-375, 2011 | 52 | 2011 |
| Achieving robustness in classification using optimal transport with hinge regularization M Serrurier, F Mamalet, A González-Sanz, T Boissin, JM Loubes, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 45 | 2021 |
| Review of mathematical frameworks for fairness in machine learning E Del Barrio, P Gordaliza, JM Loubes arXiv preprint arXiv:2005.13755, 2020 | 41 | 2020 |
| Robust clustering tools based on optimal transportation E Del Barrio, JA Cuesta-Albertos, C Matrán, A Mayo-Íscar Statistics and Computing 29, 139-160, 2019 | 41 | 2019 |
| Robust clustering tools based on optimal transportation E Del Barrio, JA Cuesta-Albertos, C Matrán, A Mayo-Íscar Statistics and Computing 29, 139-160, 2019 | 41 | 2019 |
| An optimal transportation approach for assessing almost stochastic order E Del Barrio, JA Cuesta-Albertos, C Matrán The Mathematics of the Uncertain: A Tribute to Pedro Gil, 33-44, 2018 | 40 | 2018 |
| Similarity of samples and trimming PC Alvarez-Esteban, E Del Barrio, JA Cuesta-Albertos, C Matrán | 36 | 2012 |
| A note on the regularity of optimal-transport-based center-outward distribution and quantile functions E del Barrio, A González-Sanz, M Hallin Journal of Multivariate Analysis 180, 104671, 2020 | 35 | 2020 |
Carlos MatranUniversidad de ValladolidAdresse e-mail validée de eio.uva.es
