default search action
Jean-Michel Loubes
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [j27]Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Laurent Risser, Jean-Michel Loubes:
Transport-based Counterfactual Models. J. Mach. Learn. Res. 25: 136:1-136:59 (2024) - [j26]Clément Benesse, Fabrice Gamboa, Jean-Michel Loubes, Thibaut Boissin:
Fairness seen as global sensitivity analysis. Mach. Learn. 113(5): 3205-3232 (2024) - [j25]Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz:
Diversity-Preserving K-Armed Bandits, Revisited. Trans. Mach. Learn. Res. 2024 (2024) - [i32]Renan D. B. Brotto, Jean-Michel Loubes, Laurent Risser, Jean-Pierre Florens, Kenji Nose Filho, João M. T. Romano:
Debiasing Machine Learning Models by Using Weakly Supervised Learning. CoRR abs/2402.15477 (2024) - [i31]Mahdi Tavassoli Kejani, Fadi Dornaika, Jean-Michel Loubes:
Fair Graph Neural Network with Supervised Contrastive Regularization. CoRR abs/2404.06090 (2024) - 2023
- [j24]Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes:
Attraction-repulsion clustering: a way of promoting diversity linked to demographic parity in fair clustering. Adv. Data Anal. Classif. 17(4): 859-896 (2023) - [j23]Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
How Optimal Transport Can Tackle Gender Biases in Multi-Class Neural Network Classifiers for Job Recommendations. Algorithms 16(3): 174 (2023) - [j22]Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes:
Detecting and Processing Unsuspected Sensitive Variables for Robust Machine Learning. Algorithms 16(11): 510 (2023) - [j21]Lucas de Lara, Alberto González-Sanz, Jean-Michel Loubes:
Diffeomorphic Registration Using Sinkhorn Divergences. SIAM J. Imaging Sci. 16(1): 250-279 (2023) - [j20]Eustasio del Barrio, Alberto González-Sanz, Jean-Michel Loubes, Jonathan Niles-Weed:
An Improved Central Limit Theorem and Fast Convergence Rates for Entropic Transportation Costs. SIAM J. Math. Data Sci. 5(3): 639-669 (2023) - [j19]Adrian Perez-Suay, Paula Gordaliza, Jean-Michel Loubes, Dino Sejdinovic, Gustau Camps-Valls:
Fair Kernel Regression through Cross-Covariance Operators. Trans. Mach. Learn. Res. 2023 (2023) - [c11]Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP. ACL (Findings) 2023: 5120-5136 - [c10]François Bachoc, Louis Béthune, Alberto González-Sanz, Jean-Michel Loubes:
Gaussian Processes on Distributions based on Regularized Optimal Transport. AISTATS 2023: 4986-5010 - [c9]Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
Breaking Bias: How Optimal Transport Can Help to Tackle Gender Biases in NLP Based Job Recommendation Systems? EWAF 2023 - [c8]Fanny Jourdan, Ronan Pons, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
Is a Fairness Metric Score Enough to Assess Discrimination Biases in Machine Learning? EWAF 2023 - [c7]William Todo, Merwann Selmani, Béatrice Laurent, Jean-Michel Loubes:
Counterfactual Explanation for Multivariate Times Series Using A Contrastive Variational Autoencoder. ICASSP 2023: 1-5 - [i30]Natasa Krco, Thibault Laugel, Jean-Michel Loubes, Marcin Detyniecki:
When Mitigating Bias is Unfair: A Comprehensive Study on the Impact of Bias Mitigation Algorithms. CoRR abs/2302.07185 (2023) - [i29]Fanny Jourdan, Titon Tshiongo Kaninku, Nicholas Asher, Jean-Michel Loubes, Laurent Risser:
How optimal transport can tackle gender biases in multi-class neural-network classifiers for job recommendations? CoRR abs/2302.14063 (2023) - [i28]Fanny Jourdan, Agustin Martin Picard, Thomas Fel, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP tasks. CoRR abs/2305.06754 (2023) - [i27]Fanny Jourdan, Laurent Risser, Jean-Michel Loubes, Nicholas Asher:
Are fairness metric scores enough to assess discrimination biases in machine learning? CoRR abs/2306.05307 (2023) - 2022
- [j18]Laurent Risser, Alberto González-Sanz, Quentin Vincenot, Jean-Michel Loubes:
Tackling Algorithmic Bias in Neural-Network Classifiers using Wasserstein-2 Regularization. J. Math. Imaging Vis. 64(6): 672-689 (2022) - [j17]Anis Fradi, Chafik Samir, José Braga, Shantanu H. Joshi, Jean-Michel Loubes:
Nonparametric Bayesian Regression and Classification on Manifolds, With Applications to 3D Cochlear Shapes. IEEE Trans. Image Process. 31: 2598-2607 (2022) - [i26]Alberto González-Sanz, Lucas de Lara, Louis Béthune, Jean-Michel Loubes:
GAN Estimation of Lipschitz Optimal Transport Maps. CoRR abs/2202.07965 (2022) - [i25]Samuele Centorrino, Jean-Pierre Florens, Jean-Michel Loubes:
Fairness constraint in Structural Econometrics and Application to fair estimation using Instrumental Variables. CoRR abs/2202.08977 (2022) - [i24]Eustasio del Barrio, Alberto González-Sanz, Jean-Michel Loubes, Jonathan Niles-Weed:
An improved central limit theorem and fast convergence rates for entropic transportation costs. CoRR abs/2204.09105 (2022) - [i23]William Todo, Béatrice Laurent, Jean-Michel Loubes, Merwann Selmani:
Dimension Reduction for time series with Variational AutoEncoders. CoRR abs/2204.11060 (2022) - [i22]Laurent Risser, Agustin Martin Picard, Lucas Hervier, Jean-Michel Loubes:
A survey of Identification and mitigation of Machine Learning algorithmic biases in Image Analysis. CoRR abs/2210.04491 (2022) - [i21]François Bachoc, Louis Béthune, Alberto González-Sanz, Jean-Michel Loubes:
Gaussian Processes on Distributions based on Regularized Optimal Transport. CoRR abs/2210.06574 (2022) - 2021
- [j16]Camille Champion, Anne-Claire Brunet, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser:
Detection of Representative Variables in Complex Systems with Interpretable Rules Using Core-Clusters. Algorithms 14(2): 66 (2021) - [j15]Anis Fradi, Yan Feunteun, Chafik Samir, M. Baklouti, François Bachoc, Jean-Michel Loubes:
Bayesian regression and classification using Gaussian process priors indexed by probability density functions. Inf. Sci. 548: 56-68 (2021) - [c6]Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio:
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. CVPR 2021: 505-514 - [i20]Lucas de Lara, Alberto González-Sanz, Nicholas Asher, Jean-Michel Loubes:
Transport-based Counterfactual Models. CoRR abs/2108.13025 (2021) - 2020
- [j14]Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar:
optimalFlow: optimal transport approach to flow cytometry gating and population matching. BMC Bioinform. 21(1): 479 (2020) - [j13]Clémentine Barreyre, Béatrice Laurent, Jean-Michel Loubes, Loïc Boussouf, Bertrand Cabon:
Multiple Testing for Outlier Detection in Space Telemetries. IEEE Trans. Big Data 6(3): 443-451 (2020) - [i19]Joseph Lam-Weil, Béatrice Laurent, Jean-Michel Loubes:
Minimax optimal goodness-of-fit testing for densities under a local differential privacy constraint. CoRR abs/2002.04254 (2020) - [i18]Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes, Laurent Risser:
A survey of bias in Machine Learning through the prism of Statistical Parity for the Adult Data Set. CoRR abs/2003.14263 (2020) - [i17]Camille Champion, Mélanie Blazère, Rémy Burcelin, Jean-Michel Loubes, Laurent Risser:
Robust spectral clustering using LASSO regularization. CoRR abs/2004.03845 (2020) - [i16]Thibaut Le Gouic, Jean-Michel Loubes:
The price for fairness in a regression framework. CoRR abs/2005.11720 (2020) - [i15]Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes:
Review of Mathematical frameworks for Fairness in Machine Learning. CoRR abs/2005.13755 (2020) - [i14]Eustasio del Barrio, Jean-Michel Loubes:
The statistical effect of entropic regularization in optimal transportation. CoRR abs/2006.05199 (2020) - [i13]Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio:
Achieving robustness in classification using optimal transport with hinge regularization. CoRR abs/2006.06520 (2020) - [i12]Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz:
Diversity-Preserving K-Armed Bandits, Revisited. CoRR abs/2010.01874 (2020)
2010 – 2019
- 2019
- [j12]Eustasio del Barrio, Paula Gordaliza, Hélène Lescornel, Jean-Michel Loubes:
Central limit theorem and bootstrap procedure for Wasserstein's variations with an application to structural relationships between distributions. J. Multivar. Anal. 169: 341-362 (2019) - [c5]Paula Gordaliza, Eustasio del Barrio, Fabrice Gamboa, Jean-Michel Loubes:
Obtaining Fairness using Optimal Transport Theory. ICML 2019: 2357-2365 - [c4]Eva Jabbar, Philippe C. Besse, Jean-Michel Loubes, Christophe Merle:
Conditional Anomaly Detection for Quality and Productivity Improvement of Electronics Manufacturing Systems. LOD 2019: 711-724 - [c3]Chafik Samir, Jean-Michel Loubes, Anne-Françoise Yao, François Bachoc:
Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions. PRICAI (2) 2019: 107-120 - [i11]Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes:
Attraction-Repulsion clustering with applications to fairness. CoRR abs/1904.05254 (2019) - [i10]Eustasio del Barrio, Hristo Inouzhe, Jean-Michel Loubes, Carlos Matrán, Agustín Mayo-Íscar:
optimalFlow: Optimal-transport approach to flow cytometry gating and population matching. CoRR abs/1907.08006 (2019) - [i9]Laurent Risser, Quentin Vincenot, Nicolas P. Couellan, Jean-Michel Loubes:
Using Wasserstein-2 regularization to ensure fair decisions with Neural-Network classifiers. CoRR abs/1908.05783 (2019) - 2018
- [j11]François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Nil Venet:
A Gaussian Process Regression Model for Distribution Inputs. IEEE Trans. Inf. Theory 64(10): 6620-6637 (2018) - [j10]Philippe C. Besse, Brendan Guillouet, Jean-Michel Loubes, Francois Royer:
Destination Prediction by Trajectory Distribution-Based Model. IEEE Trans. Intell. Transp. Syst. 19(8): 2470-2481 (2018) - [c2]Eva Jabbar, Philippe C. Besse, Jean-Michel Loubes, Nathalie Barbosa Roa, Christophe Merle, Rémi Dettai:
Supervised Learning Approach for Surface-Mount Device Production. LOD 2018: 254-263 - [i8]Camille Champion, Anne-Claire Brunet, Jean-Michel Loubes, Laurent Risser:
COREclust: a new package for a robust and scalable analysis of complex data. CoRR abs/1805.10211 (2018) - [i7]Philippe C. Besse, Eustasio del Barrio, Paula Gordaliza, Jean-Michel Loubes:
Confidence Intervals for Testing Disparate Impact in Fair Learning. CoRR abs/1807.06362 (2018) - [i6]Philippe C. Besse, Céline Castets-Renard, Aurélien Garivier, Jean-Michel Loubes:
Can everyday AI be ethical. Fairness of Machine Learning Algorithms. CoRR abs/1810.01729 (2018) - [i5]François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser:
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. CoRR abs/1810.07924 (2018) - 2017
- [i4]Thomas Epelbaum, Fabrice Gamboa, Jean-Michel Loubes, Jessica Martin:
Deep Learning applied to Road Traffic Speed forecasting. CoRR abs/1710.08266 (2017) - 2016
- [j9]Philippe C. Besse, Brendan Guillouet, Jean-Michel Loubes, Francois Royer:
Review and Perspective for Distance-Based Clustering of Vehicle Trajectories. IEEE Trans. Intell. Transp. Syst. 17(11): 3306-3317 (2016) - [i3]Philippe C. Besse, Brendan Guillouet, Jean-Michel Loubes:
Big Data analytics. Three use cases with R, Python and Spark. CoRR abs/1609.09619 (2016) - 2015
- [j8]Marina Agulló-Antolín, Juan Antonio Cuesta-Albertos, Hélène Lescornel, Jean-Michel Loubes:
A parametric registration model for warped distributions with Wasserstein's distance. J. Multivar. Anal. 135: 117-130 (2015) - [c1]Thibaut Le Gouic, Jean-Michel Loubes:
Barycenter in Wasserstein Spaces: Existence and Consistency. GSI 2015: 104-108 - [i2]Philippe C. Besse, Brendan Guillouet, Jean-Michel Loubes, François Royer:
Review and Perspective for Distance Based Trajectory Clustering. CoRR abs/1508.04904 (2015) - 2014
- [j7]Chloé Dimeglio, Santiago Gallón, Jean-Michel Loubes, Elie Maza:
A robust algorithm for template curve estimation based on manifold embedding. Comput. Stat. Data Anal. 70: 373-386 (2014) - [j6]Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes:
Big data analytics - Retour vers le futur 3. De statisticien à data scientist. Ingénierie des Systèmes d Inf. 19(3): 93-105 (2014) - [j5]Rolando Biscay Lirio, Dunia Giniebra Camejo, Jean-Michel Loubes, Lilian Muñiz-Alvarez:
Estimation of covariance functions by a fully data-driven model selection procedure and its application to Kriging spatial interpolation of real rainfall data. Stat. Methods Appl. 23(2): 149-174 (2014) - [j4]Mélanie Blazère, Jean-Michel Loubes, Fabrice Gamboa:
Oracle Inequalities for a Group Lasso Procedure Applied to Generalized Linear Models in High Dimension. IEEE Trans. Inf. Theory 60(4): 2303-2318 (2014) - [i1]Philippe C. Besse, Aurélien Garivier, Jean-Michel Loubes:
Big Data - Retour vers le Futur 3; De Statisticien à Data Scientist. CoRR abs/1403.3758 (2014) - 2012
- [p1]Jean-Michel Loubes, Paul Rochet:
Regularization with Approximated L 2 Maximum Entropy Method. Mathematical Methods for Signal and Image Analysis and Representation 2012: 275-290 - 2011
- [j3]Jérémie Bigot, Rolando J. Biscay, Jean-Michel Loubes, Lilian Muñiz-Alvarez:
Group Lasso Estimation of High-dimensional Covariance Matrices. J. Mach. Learn. Res. 12: 3187-3225 (2011) - [j2]Jean-François Dupuy, Jean-Michel Loubes, Elie Maza:
Non parametric estimation of the structural expectation of a stochastic increasing function. Stat. Comput. 21(1): 121-136 (2011)
2000 – 2009
- 2009
- [j1]Jérémie Bigot, Sébastien Gadat, Jean-Michel Loubes:
Statistical M-Estimation and Consistency in Large Deformable Models for Image Warping. J. Math. Imaging Vis. 34(3): 270-290 (2009)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 22:07 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint