Thibaud Rahier

According to our database, Thibaud Rahier authored at least 13 papers between 2018 and 2024.

Collaborative distances:

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

2024

Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit.

Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel

CoRR, 2024

Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits.

Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel

CoRR, 2024

Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits.

Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Maximizing the Success Probability of Policy Allocations in Online Systems.

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

A Pre-screening Approach for Faster Bayesian Network Structure Learning.

Thibaud Rahier, Sylvain Marié, Florence Forbes

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Diverse Weight Averaging for Out-of-Distribution Generalization.

Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Nested Bandits.

Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati

Proceedings of the International Conference on Machine Learning, 2022

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

Individual Treatment Prescription Effect Estimation in a Low Compliance Setting.

Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging.

Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Individual Treatment Effect Estimation in a Low Compliance Setting.

Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert

CoRR, 2020

Online Non-Convex Optimization with Imperfect Feedback.

Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

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

Thibaud Rahier

PhD thesis, 2018