Rahier, Thibaud

8 publications

ALT 2025 Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel

AAAI 2024 Maximizing the Success Probability of Policy Allocations in Online Systems Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann

NeurIPS 2024 Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel

ECML-PKDD 2022 A Pre-Screening Approach for Faster Bayesian Network Structure Learning Thibaud Rahier, Sylvain Marié, Florence Forbes

NeurIPS 2022 Diverse Weight Averaging for Out-of-Distribution Generalization Alexandre Rame, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord

ICML 2022 Nested Bandits Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati

ICML 2021 Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier

NeurIPS 2020 Online Non-Convex Optimization with Imperfect Feedback Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier