Matthieu Lerasle

Documents

Publications

	Pair-Matching: Link Prediction with Adaptive Queries Christophe Giraud , Yann Issartel , Luc Lehericy , Matthieu Lerasle Mathematical Statistics and Learning, 2024 Journal articles 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⟩ Journal articles hal-04251607v1
	On the robustness of the minimim l2 interpolator Geoffrey Chinot , Matthieu Lerasle Bernoulli, inPress, ⟨10.48550/arXiv.2003.05838⟩ Journal articles hal-03874519v1
	Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot , Guillaume Lecué , Matthieu Lerasle Journal of Machine Learning Research, inPress Journal articles hal-03094512v1
	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⟩ Journal articles hal-02273193v1
	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⟩ Journal articles hal-01552494v2
	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⟩ Journal articles 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 Journal articles hal-02177452v1
	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⟩ Journal articles 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⟩ Journal articles 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⟩ Journal articles hal-01204517v2
	Sub-Gaussian mean estimators Luc Devroye , Matthieu Lerasle , Gabor Lugosi , Roberto I. Oliveira Annals of Statistics, 2016, ⟨10.1214/16-AOS1440⟩ Journal articles 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⟩ Journal articles 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⟩ Journal articles 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 Journal articles 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⟩ Journal articles hal-00422655v1
	Adaptive non-asymptotic confidence balls in density estimation Matthieu Lerasle ESAIM: Probability and Statistics, 2012, 16 (1), ps0852. ⟨10.1051/ps/2010012⟩ Journal articles 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⟩ Journal articles 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⟩ Journal articles hal-00913724v1
	Adaptive density estimation for stationary processes Matthieu Lerasle Mathematical Methods of Statistics, 2009, 18 (1), pp.59--83. ⟨10.3103/S1066530709010049⟩ Journal articles hal-00413692v1

	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 Conference papers 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 Conference papers 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 Conference papers hal-00913879v1

	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⟩ Book sections hal-01224097v1

	A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning Joon Kwon , Matthieu Lerasle , Guillaume Lecué 2019 Preprints, Working Papers, ... hal-02786143v1
	Pair Matching: When bandits meet stochastic block model Christophe Giraud , Yann Issartel , Luc Lehéricy , Matthieu Lerasle 2019 Preprints, Working Papers, ... hal-02159938v1
	Robust high dimensional learning for Lipschitz and convex losses Geoffrey Chinot , Guillaume Lecué , Matthieu Lerasle 2019 Preprints, Working Papers, ... hal-02159943v1
	A Bayesian nonparametric approach for generalized Bradley-Terry models in random environment Sylvain Le Corff , Matthieu Lerasle , Elodie Vernet 2018 Preprints, Working Papers, ... hal-01860352v1
	Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation Sylvain Arlot , Matthieu Lerasle 2015 Preprints, Working Papers, ... hal-00743931v3

Matthieu Lerasle

Publications

Pair-Matching: Link Prediction with Adaptive Queries

Optimal Change-Point Detection and Localization

On the robustness of the minimim l2 interpolator

Robust high dimensional learning for Lipschitz and convex losses

Aggregated Hold-Out

Learning the distribution of latent variables in paired comparison models with round-robin scheduling

A quantitative McDiarmid’s inequality for geometrically ergodic Markov chains

A quantitative Mc Diarmid's inequality for geometrically ergodic Markov chains

Learning from MOM's principles : Le Cam's approach

Non parametric estimation for random walks in random environment

The number of potential winners in Bradley-Terry model in random environment

Sub-Gaussian mean estimators

Family wise separation rates for multiple testing

Sharp oracle inequalities and slope heuristic for specification probabilities estimation in discrete random fields.

Markov approximation of chains of infinite order in the $\bar{d}$-metric

Optimal model selection in density estimation

Adaptive non-asymptotic confidence balls in density estimation

Optimal model selection for stationary data under various mixing conditions

An Oracle Approach for Interaction Neighborhood Estimation in Random Field

Adaptive density estimation for stationary processes

MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means

Parallel and pseudorandom discrete event system specification vs. networks of spiking neurons: Formalization and preliminary implementation results

Kernels based tests with non-asymptotic bootstrap approaches for two-sample problem

Optimal kernel selection for density estimation

A MOM-based ensemble method for robustness, subsampling and hyperparameter tuning

Pair Matching: When bandits meet stochastic block model

Robust high dimensional learning for Lipschitz and convex losses

A Bayesian nonparametric approach for generalized Bradley-Terry models in random environment

Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation