Chambaz, Antoine

6 publications

AISTATS 2024 Positivity-Free Policy Learning with Observational Data Pan Zhao, Antoine Chambaz, Julie Josse, Shu Yang

NeurIPS 2023 A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models Alexander Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

NeurIPS 2021 Post-Contextual-Bandit Inference Aurelien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark van der Laan

NeurIPS 2021 Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning Aurelien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark van der Laan

UAI 2020 Generalized Policy Elimination: An Efficient Algorithm for Nonparametric Contextual Bandits Aurelien Bibaut, Antoine Chambaz, Mark Laan

MLJ 2019 Asymptotically Optimal Algorithms for Budgeted Multiple Play Bandits Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz