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2020 – today
- 2024
[c7]Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann:
Maximizing the Success Probability of Policy Allocations in Online Systems. AAAI 2024: 11061-11068- [i9]Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel:
Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. CoRR abs/2402.15171 (2024) - [i8]Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel:
Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit. CoRR abs/2410.08578 (2024) - 2023
- [i7]Artem Betlei, Mariia Vladimirova, Mehdi Sebbar, Nicolas Urien, Thibaud Rahier, Benjamin Heymann:
Maximizing the Success Probability of Policy Allocations in Online Systems. CoRR abs/2312.16267 (2023) - 2022
- [c6]Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati:
Nested Bandits. ICML 2022: 15093-15121 - [c5]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS 2022 - [c4]Thibaud Rahier
, Sylvain Marié, Florence Forbes:
A Pre-screening Approach for Faster Bayesian Network Structure Learning. ECML/PKDD (5) 2022: 207-222 - [i6]Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord:
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR abs/2205.09739 (2022) - [i5]Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati:
Nested bandits. CoRR abs/2206.09348 (2022) - 2021
- [c3]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-Order Non-Convex Learning via Hierarchical Dual Averaging. ICML 2021: 4192-4202 - [c2]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Prescription Effect Estimation in a Low Compliance Setting. KDD 2021: 1399-1409 - [i4]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Zeroth-order non-convex learning via hierarchical dual averaging. CoRR abs/2109.05829 (2021) - [i3]Eustache Diemert, Artem Betlei, Christophe Renaudin, Massih-Reza Amini, Théophane Gregoir, Thibaud Rahier:
A Large Scale Benchmark for Individual Treatment Effect Prediction and Uplift Modeling. CoRR abs/2111.10106 (2021) - 2020
- [c1]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online Non-Convex Optimization with Imperfect Feedback. NeurIPS 2020 - [i2]Thibaud Rahier, Amélie Héliou, Matthieu Martin, Christophe Renaudin, Eustache Diemert:
Individual Treatment Effect Estimation in a Low Compliance Setting. CoRR abs/2008.03235 (2020) - [i1]Amélie Héliou, Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier:
Online non-convex optimization with imperfect feedback. CoRR abs/2010.08496 (2020)
2010 – 2019
- 2018
- [b1]Thibaud Rahier:
Bayesian networks for static and temporal data fusion. (Réseaux Bayésiens pour fusion de données statiques et temporelles). Grenoble Alpes University, France, 2018
Coauthor Index
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