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

Excess risk bounds in robust empirical risk minimization. - Stanislav Minsker; Timothée Mathieu (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)

Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithm. - Debabrota Basu; Odalric-Ambrym Maillard; Timothée Mathieu (CoRR, 2022)

AdaStop: sequential testing for efficient and reliable comparisons of Deep RL Agents. - Timothée Mathieu; Riccardo Della Vecchia; Alena Shilova; Matheus Centa de Medeiros; Hector Kohler; Odalric-Ambrym Maillard; Philippe Preux (CoRR, 2023)

Statistical comparison in empirical computer science with minimal computation usage. - Timothée Mathieu; Philippe Preux (ACM-REP, 2024)

CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption. - Shubhada Agrawal; Timothée Mathieu; Debabrota Basu; Odalric-Ambrym Maillard (ALT, 2024)

Information Lower Bounds for Robust Mean Estimation. - Rémy Degenne; Timothée Mathieu (CoRR, 2024)

Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithms. - Timothée Mathieu; Debabrota Basu; Odalric-Ambrym Maillard (Trans. Mach. Learn. Res., 2024)

AdaStop: adaptive statistical testing for sound comparisons of Deep RL agents. - Timothée Mathieu; Matheus Centa; Riccardo Della Vecchia; Hector Kohler; Alena Shilova; Odalric-Ambrym Maillard; Philippe Preux (Trans. Mach. Learn. Res., 2024)