Bayesian networks for static and temporal data fusion. (Réseaux Bayésiens pour fusion de données statiques et temporelles). - Thibaud Rahier (2018)

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

Individual Treatment Effect Estimation in a Low Compliance Setting. - Thibaud Rahier; Amélie Héliou; Matthieu Martin; Christophe Renaudin; Eustache Diemert (CoRR, 2020)

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

Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. - Thibaud Rahier; Amélie Héliou; Matthieu Martin; Christophe Renaudin; Eustache Diemert (KDD, 2021)

A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. - Eustache Diemert; Artem Betlei; Christophe Renaudin; Massih-Reza Amini; Théophane Gregoir; Thibaud Rahier (CoRR, 2021)

Nested Bandits. - Matthieu Martin; Panayotis Mertikopoulos; Thibaud Rahier; Houssam Zenati (ICML, 2022)

Diverse Weight Averaging for Out-of-Distribution Generalization. - Alexandre Ramé; Matthieu Kirchmeyer; Thibaud Rahier; Alain Rakotomamonjy; Patrick Gallinari; Matthieu Cord (NeurIPS, 2022)

A Pre-screening Approach for Faster Bayesian Network Structure Learning. - Thibaud Rahier; Sylvain Marié; Florence Forbes (ECML/PKDD (5), 2022)

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

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

Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. - Julien Zhou; Pierre Gaillard; Thibaud Rahier; Houssam Zenati; Julyan Arbel (CoRR, 2024)

Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit. - Julien Zhou; Pierre Gaillard; Thibaud Rahier; Julyan Arbel (ALT, 2025)