Kernels Based Tests with Non-asymptotic Bootstrap Approaches for Two-sample Problems. - Magalie Fromont; Béatrice Laurent; Matthieu Lerasle; Patricia Reynaud-Bouret (COLT, 2012)

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 (HPCS, 2016)

Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation. - Sylvain Arlot; Matthieu Lerasle (J. Mach. Learn. Res., 2016)

MONK - Outlier-Robust Mean Embedding Estimation by Median-of-Means. - Matthieu Lerasle; Zoltán Szabó; Guillaume Lecué; Gaspar Massiot; Eric Moulines (CoRR, 2018)

MONK Outlier-Robust Mean Embedding Estimation by Median-of-Means. - Matthieu Lerasle; Zoltán Szabó; Timothée Mathieu; Guillaume Lecué (ICML, 2019)

Pair Matching: When bandits meet stochastic block model. - Christophe Giraud 002; Yann Issartel; Luc Lehéricy; Matthieu Lerasle (CoRR, 2019)

Lecture Notes: Selected topics on robust statistical learning theory. - Matthieu Lerasle (CoRR, 2019)

Robust classification via MOM minimization. - Guillaume Lecué; Matthieu Lerasle; Timothée Mathieu (Mach. Learn., 2020)

Correction to: Robust classification via MOM minimization. - Guillaume Lecué; Matthieu Lerasle; Timothée Mathieu (Mach. Learn., 2020)

Aggregated Hold-Out. - Guillaume Maillard; Sylvain Arlot; Matthieu Lerasle (J. Mach. Learn. Res., 2021)

Construction of a Surrogate Model: Multivariate Time Series Prediction with a Hybrid Model. - Clara Carlier; Arnaud Franju; Matthieu Lerasle; Mathias Obrebski (CoRR, 2022)

Online Matching in Geometric Random Graphs. - Flore Sentenac; Nathan Noiry; Matthieu Lerasle; Laurent Ménard; Vianney Perchet (CoRR, 2023)

Active Ranking and Matchmaking, with Perfect Matchings. - Hafedh El Ferchichi; Matthieu Lerasle; Vianney Perchet (ICML, 2024)

Finite-sample performance of the maximum likelihood estimator in logistic regression. - Hugo Chardon; Matthieu Lerasle; Jaouad Mourtada (CoRR, 2024)

Unlearning Works Better Than You Think: Local Reinforcement-Based Selection of Auxiliary Objectives. - Matthieu Lerasle; Abderrahim Bendahi; Adrien Fradin (GECCO, 2025)