Thibaud Rahier

20 papers A* 7B 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Functional Natural Policy Gradients.
CoRR
Aurélien F. Bibaut, Houssam Zenati, Thibaud Rahier, Nathan Kallus
2025 B conf
Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit.
ALT
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel
2024 J jnl
Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits.
CoRR
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
2024 J jnl
Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit.
CoRR
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel
2024 A* conf
Maximizing the Success Probability of Policy Allocations in Online Systems.
AAAI
Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann
2024 A* conf
Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits.
NeurIPS
Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
2023 J jnl
Maximizing the Success Probability of Policy Allocations in Online Systems.
CoRR
Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann
2022 — conf
A Pre-screening Approach for Faster Bayesian Network Structure Learning.
ECML/PKDD (5)
Thibaud Rahier, Sylvain Marié, Florence Forbes
2022 A* conf
Diverse Weight Averaging for Out-of-Distribution Generalization.
NeurIPS
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
2022 J jnl
Diverse Weight Averaging for Out-of-Distribution Generalization.
CoRR
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
2022 A* conf
Nested Bandits.
ICML
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
2022 J jnl
Nested bandits.
CoRR
Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati
2021 J jnl
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling.
CoRR
Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier
2021 A* conf
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting.
KDD
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
2021 A* conf
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging.
ICML
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2021 J jnl
Zeroth-order non-convex learning via hierarchical dual averaging.
CoRR
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2020 J jnl
Individual Treatment Effect Estimation in a Low Compliance Setting.
CoRR
Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert
2020 A* conf
Online Non-Convex Optimization with Imperfect Feedback.
NeurIPS
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2020 J jnl
Online non-convex optimization with imperfect feedback.
CoRR
Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier
2018 — —
Bayesian networks for static and temporal data fusion. (Réseaux Bayésiens pour fusion de données statiques et temporelles).
Thibaud Rahier