| Diverse weight averaging for out-of-distribution generalization A Rame, M Kirchmeyer, T Rahier, A Rakotomamonjy, P Gallinari, M Cord NeurIPS 2022, 2022 | 114 | 2022 |
| Online non-convex optimization with imperfect feedback A Héliou, M Martin, P Mertikopoulos, T Rahier NeurIPS 2020, 2020 | 23 | 2020 |
| A large scale benchmark for individual treatment effect prediction and uplift modeling E Diemert, A Betlei, C Renaudin, MR Amini, T Gregoir, T Rahier arXiv preprint arXiv:2111.10106, 2021 | 15 | 2021 |
| Zeroth-order non-convex learning via hierarchical dual averaging A Héliou, M Martin, P Mertikopoulos, T Rahier ICML 2021, 2021 | 15 | 2021 |
| A Pre-Screening Approach for Faster Bayesian Network Structure Learning T Rahier, S Marié, F Forbes ECML-PKDD 2022, 2022 | 8* | 2022 |
| Individual treatment prescription effect estimation in a low compliance setting T Rahier, A Héliou, M Martin, C Renaudin, E Diemert KDD 2021, 2021 | 5* | 2021 |
| Nested bandits M Martin, P Mertikopoulos, T Rahier, H Zenati ICML 2022, 2022 | 3 | 2022 |
| Differentially Private Individual Treatment Effect Estimation from Aggregated Data A Betlei, T Gregoir, T Rahier, A Bissuel, E Diemert, MR Amini PPML 2021, 2021 | 2 | 2021 |
| Bayesian networks for static and temporal data fusion T Rahier Université Grenoble Alpes, 2018 | 2 | 2018 |
| Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits J Zhou, P Gaillard, T Rahier, H Zenati, J Arbel arXiv preprint arXiv:2402.15171, 2024 | 1 | 2024 |
| Towards efficient and optimal covariance-adaptive algorithms for combinatorial semi-bandits J Zhou, P Gaillard, T Rahier, H Zenati, J Arbel The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024 | 1 | 2024 |
| Maximizing the Success Probability of Policy Allocations in Online Systems A Betlei, M Vladimirova, M Sebbar, N Urien, T Rahier, B Heymann AAAI 2024, 2023 | 1 | 2023 |
| Screening strong pairwise relationships for fast Bayesian network structure learning T Rahier, S Marié, S Girard, F Forbes Italian-French Statistics Seminar (IFSS) 2018, 2018 | 1 | 2018 |
| Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit J Zhou, P Gaillard, T Rahier, J Arbel arXiv preprint arXiv:2410.08578, 2024 | | 2024 |
| Contributed comment on Article by Hahn, Murray, and Carvalho D Bystrova, J Arbel, T Rahier | | 2021 |
| Réseaux Bayésiens pour fusion de données statiques et temporelles T Rahier Université Grenoble Alpes (ComUE), 2018 | | 2018 |
| fast bayesian network structure learning with quasi-determinism screening T Rahier, S Marié, S Girard, F Forbes | | 2018 |
| Bayesian networks for static and temporal data fusion.(Réseaux Bayésiens pour fusion de données statiques et temporelles). T Rahier Grenoble Alpes University, France, 2018 | | 2018 |
| Robust CART-Dealing with errors in the data T Rahier UC Berkeley, 2015 | | 2015 |
| A Large Scale Realistic Benchmark for Individual Treatment Effect Prediction and Uplift Modeling E Diemert, A Betlei, C Renaudin, MR Amini, T Gregoir, T Rahier | | |
Amélie HéliouAdresse e-mail validée de polytechnique.edu
