Matthieu Lerasle

Publications

Article dans une revue (20)

Pair-Matching: Link Prediction with Adaptive Queries Christophe Giraud,Yann Issartel,Luc Lehericy,Matthieu Lerasle Mathematical Statistics and Learning, 2024, ⟨10.4171/msl/46⟩ Article dans une revue hal-04578273v1
Optimal Change-Point Detection and Localization Nicolas Verzelen,Magalie Fromont,Matthieu Lerasle,Patricia Reynaud-Bouret Annals of Statistics, 2023, 51 (4), pp.1586-1610. ⟨10.1214/23-AOS2297⟩ Article dans une revue hal-04251607v1
On the robustness of the minimim l2 interpolator Geoffrey Chinot,Matthieu Lerasle Bernoulli, In press, ⟨10.48550/arXiv.2003.05838⟩ Article dans une revue hal-03874519v1
Aggregated Hold-Out Guillaume Maillard,Sylvain Arlot,Matthieu Lerasle Journal of Machine Learning Research, 2021, 22 (20), pp.1--55. ⟨10.48550/arXiv.1909.04890⟩ Article dans une revue hal-02273193v1
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot,Guillaume Lecué,Matthieu Lerasle Journal of Machine Learning Research, In press Article dans une revue hal-03094512v1
A quantitative McDiarmid’s inequality for geometrically ergodic Markov chains Antoine Havet,Matthieu Lerasle,Éric Moulines,Elodie Vernet Electronic Communications in Probability, 2020, 25, ⟨10.1214/20-ECP286⟩ Article dans une revue hal-02473182v1
A quantitative Mc Diarmid's inequality for geometrically ergodic Markov chains Antoine Havet,Matthieu Lerasle,Éric Moulines,Elodie Vernet Electronic Communications in Probability, 2020 Article dans une revue hal-02177452v1
Learning the distribution of latent variables in paired comparison models with round-robin scheduling Roland Diel,Sylvain Le Corff,Matthieu Lerasle Bernoulli, 2020, 26 (4), ⟨10.3150/20-BEJ1203⟩ Article dans une revue hal-01552494v2
Learning from MOM's principles : Le Cam's approach Guillaume Lecué,Matthieu Lerasle Stochastic Processes and their Applications, 2019, 129 (11), pp.4385-4410. ⟨10.1016/j.spa.2018.11.024⟩ Article dans une revue hal-01564223v1
Non parametric estimation for random walks in random environment Roland Diel,Matthieu Lerasle Stochastic Processes and their Applications, 2018, ⟨10.1016/j.spa.2017.04.011⟩ Article dans une revue hal-01330523v1
The number of potential winners in Bradley-Terry model in random environment Raphael Chetrite,Roland Diel,Matthieu Lerasle The Annals of Applied Probability, 2017, 27 (3), pp.1372 - 1394. ⟨10.1214/16-AAP1231⟩ Article dans une revue hal-01204517v2
Sub-Gaussian mean estimators Luc Devroye,Matthieu Lerasle,Gabor Lugosi,Roberto I. Oliveira Annals of Statistics, 2016, ⟨10.1214/16-AOS1440⟩ Article dans une revue hal-01204519v1
Family wise separation rates for multiple testing Magalie Fromont,Matthieu Lerasle,Patricia Reynaud-Bouret Annals of Statistics, 2016, 44 (6), pp.2533-2563. ⟨10.1214/15-AOS1418⟩ Article dans une revue hal-01107321v1
Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields. Matthieu Lerasle,D.Y. Takahashi Bernoulli, 2016, 22 (1), pp.325-344. ⟨10.3150/14-BEJ660⟩ Article dans une revue hal-01059692v1
Markov approximation of chains of infinite order in the $\bar{d}$-metric Sandro Gallo,Matthieu Lerasle,D.Y. Takahashi Markov Processes And Related Fields, 2013, 19 (1), pp.51--82 Article dans une revue hal-00913858v1
Optimal model selection in density estimation Matthieu Lerasle Annales de l'Institut Henri Poincaré (B) Probabilités et Statistiques, 2012, 48 (3), pp.884--908. ⟨10.1214/11-AIHP425⟩ Article dans une revue hal-00422655v1
Adaptive non-asymptotic confidence balls in density estimation Matthieu Lerasle ESAIM: Probability and Statistics, 2012, 16 (1), ps0852. ⟨10.1051/ps/2010012⟩ Article dans une revue hal-00913641v1
Optimal model selection for stationary data under various mixing conditions Matthieu Lerasle Annals of Statistics, 2012, 39 (4), pp.1852-1877. ⟨10.1214/11-AOS888SUPP⟩ Article dans une revue hal-00430463v1
An Oracle Approach for Interaction Neighborhood Estimation in Random Field Matthieu Lerasle,D.Y. Takahashi Electronic Journal of Statistics , 2011, 5, pp.534-571. ⟨10.1214/11-EJS618⟩ Article dans une revue hal-00913724v1
Adaptive density estimation for stationary processes Matthieu Lerasle Mathematical Methods of Statistics, 2009, 18 (1), pp.59--83. ⟨10.3103/S1066530709010049⟩ Article dans une revue hal-00413692v1

Communication dans un congrès (4)

Active Ranking and Matchmaking, with Perfect Matchings Hafedh El Ferchichi,Matthieu Lerasle,Vianney Perchet ICML 2024 - The Forty-First International Conference on Machine Learning, Jul 2024, Vienne, Austria Communication dans un congrès hal-04891449v1
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means Matthieu Lerasle,Zoltán Szabó,Timothée Mathieu,Guillaume Lecué ICML 2019 - 36th International Conference on Machine Learning, Jun 2019, Long Beach, United States Communication dans un congrès hal-01705881v5
Parallel and pseudorandom discrete event system specification vs. networks of spiking neurons: Formalization and preliminary implementation results Alexandre Muzy,Matthieu Lerasle,Franck Grammont,van Toan Dao,David R.C. Hill The 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), International Workshop on Parallel Computations for Neural Networks (PCNN 2016), Jul 2016, Innsbruck, Austria Communication dans un congrès hal-01316924v1
Kernels based tests with non-asymptotic bootstrap approaches for two-sample problem Magalie Fromont,Béatrice Laurent,Matthieu Lerasle,Patricia Reynaud-Bouret 25th Annual Conference on Learning Theory, Jun 2012, Edimbourg, United Kingdom. pp.23.1-23.22 Communication dans un congrès hal-00913879v1

Chapitre d'ouvrage (1)

Optimal kernel selection for density estimation Matthieu Lerasle,Nelo Magalhães,Patricia Reynaud-Bouret High Dimensional Probability VII : The Cargese Volume, 71, Birkhauser, pp.425-460, 2016, Prog. Probab, 978-3-319-40519-3_19. ⟨10.1007/978-3-319-40519-3_19⟩ Chapitre d'ouvrage hal-01224097v1

Pré-publication, Document de travail (6)

Contextual ranking and matching. Optimal regret under LST Hafedh El Ferchichi,Matthieu Lerasle,Vianney Perchet 2025 Pré-publication, Document de travail hal-05300098v1
A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning Joon Kwon,Matthieu Lerasle,Guillaume Lecué 2019 Pré-publication, Document de travail hal-02786143v1
Pair Matching: When bandits meet stochastic block model Christophe Giraud,Yann Issartel,Luc Lehéricy,Matthieu Lerasle 2019 Pré-publication, Document de travail hal-02159938v1
Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot,Guillaume Lecué,Matthieu Lerasle 2019 Pré-publication, Document de travail hal-02159943v1
A Bayesian nonparametric approach for generalized Bradley-Terry models in random environment Sylvain Le Corff,Matthieu Lerasle,Elodie Vernet 2018 Pré-publication, Document de travail hal-01860352v1
Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation Sylvain Arlot,Matthieu Lerasle 2015 Pré-publication, Document de travail hal-00743931v3