Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data. - Pierre Clavier; Olivier Bouaziz; Grégory Nuel (PGM, 2020)

Robust Reinforcement Learning with Distributional Risk-averse formulation. - Pierre Clavier; Stéphanie Allassonnière; Erwan Le Pennec (CoRR, 2022)

VITS : Variational Inference Thomson Sampling for contextual bandits. - Pierre Clavier; Tom Huix; Alain Durmus (CoRR, 2023)

VITS : Variational Inference Thompson Sampling for contextual bandits. - Pierre Clavier; Tom Huix; Alain Oliviero Durmus (ICML, 2024)

Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms. - Pierre Clavier; Laixi Shi; Erwan Le Pennec; Eric Mazumdar; Adam Wierman; Matthieu Geist (NeurIPS, 2024)

Time-Constrained Robust MDPs. - Adil Zouitine; David Bertoin; Pierre Clavier; Matthieu Geist; Emmanuel Rachelson (NeurIPS, 2024)

Towards Minimax Optimality of Model-based Robust Reinforcement Learning. - Pierre Clavier; Erwan Le Pennec; Matthieu Geist (UAI, 2024)

Bootstrapping Expectiles in Reinforcement Learning. - Pierre Clavier; Emmanuel Rachelson; Erwan Le Pennec; Matthieu Geist (CoRR, 2024)

RRLS : Robust Reinforcement Learning Suite. - Adil Zouitine; David Bertoin; Pierre Clavier; Matthieu Geist; Emmanuel Rachelson (CoRR, 2024)

Robust Reinforcement Learning: Theory and Practice. (Apprentissage par renforcement robuste: théorie et pratique). - Pierre Clavier (2024)

Command A: An Enterprise-Ready Large Language Model. - Aakanksha; Arash Ahmadian; Marwan Ahmed; Jay Alammar; Milad Alizadeh; Yazeed Alnumay; Sophia Althammer; Arkady Arkhangorodsky; Viraat Aryabumi; Dennis Aumiller; Raphaël Avalos; Zahara Aviv; et al. (CoRR, 2025)

ShiQ: Bringing back Bellman to LLMs. - Pierre Clavier; Nathan Grinsztajn; Raphaël Avalos; Yannis Flet-Berliac; Irem Ergün; Omar Darwiche Domingues; Eugene Tarassov; Olivier Pietquin; Pierre H. Richemond; Florian Strub; Matthieu Geist (CoRR, 2025)