Zenati, Houssam

9 publications

TMLR 2025 Counterfactual Learning of Stochastic Policies with Continuous Actions Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Pierre Gaillard, Julien Mairal

NeurIPS 2025 Density Ratio-Free Doubly Robust Proxy Causal Learning Bariscan Bozkurt, Houssam Zenati, Dimitri Meunier, Liyuan Xu, Arthur Gretton

AISTATS 2025 Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments Houssam Zenati, Judith Abécassis, Julie Josse, Bertrand Thirion

NeurIPS 2025 Doubly-Robust Estimation of Counterfactual Policy Mean Embeddings Houssam Zenati, Bariscan Bozkurt, Arthur Gretton

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

ICML 2023 Sequential Counterfactual Risk Minimization Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard

AISTATS 2022 Efficient Kernelized UCB for Contextual Bandits Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard

ICML 2022 Nested Bandits Matthieu Martin, Panayotis Mertikopoulos, Thibaud Rahier, Houssam Zenati

ICLR 2019 Optimistic Mirror Descent in Saddle-Point Problems: Going the Extra (gradient) Mile Panayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar, Georgios Piliouras