Bibaut, Aurelien

7 publications

NeurIPS 2025 Simulation-Based Inference for Adaptive Experiments Brian M Cho, Aurelien Bibaut, Nathan Kallus

ICML 2024 Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments Allen Tran, Aurelien Bibaut, Nathan Kallus

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

ICML 2019 More Efficient Off-Policy Evaluation Through Regularized Targeted Learning Aurelien Bibaut, Ivana Malenica, Nikos Vlassis, Mark Van Der Laan

ICML 2019 On the Design of Estimators for Bandit Off-Policy Evaluation Nikos Vlassis, Aurelien Bibaut, Maria Dimakopoulou, Tony Jebara