Timothée Mathieu

According to our database, Timothée Mathieu authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Information Lower Bounds for Robust Mean Estimation.

Rémy Degenne, Timothée Mathieu

CoRR, 2024

CRIMED: Lower and Upper Bounds on Regret for Bandits with Unbounded Stochastic Corruption.

Shubhada Agrawal, Timothée Mathieu, Debabrota Basu, Odalric-Ambrym Maillard

Proceedings of the International Conference on Algorithmic Learning Theory, 2024

Statistical comparison in empirical computer science with minimal computation usage.

Timothée Mathieu, Philippe Preux

Proceedings of the 2nd ACM Conference on Reproducibility and Replicability, 2024

2023

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

2022

Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithm.

Debabrota Basu, Odalric-Ambrym Maillard, Timothée Mathieu

CoRR, 2022

2020

Correction to: Robust classification via MOM minimization.

Guillaume Lecué, Matthieu Lerasle, Timothée Mathieu

Mach. Learn., 2020

Robust classification via MOM minimization.

Guillaume Lecué, Matthieu Lerasle, Timothée Mathieu

Mach. Learn., 2020

2019

Excess risk bounds in robust empirical risk minimization.

Stanislav Minsker, Timothée Mathieu

CoRR, 2019

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

Matthieu Lerasle, Zoltán Szabó, Timothée Mathieu, Guillaume Lecué

Proceedings of the 36th International Conference on Machine Learning, 2019