Aurélien Bibaut

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Policy Evaluation

Contextual Bandit

Ensemble Methods

Convolutional Neural Networks

Top Venues

Publications

Aurélien Bibaut, Winston Chou, Simon Ejdemyr, Nathan Kallus
Learning the Covariance of Treatment Effects Across Many Weak Experiments. KDD (2024)
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. CoRR (2021)
Aurélien Bibaut, Antoine Chambaz, Maria Dimakopoulou, Nathan Kallus, Mark J. van der Laan
Post-Contextual-Bandit Inference. CoRR (2021)
Aurélien Bibaut, Maria Dimakopoulou, Nathan Kallus, Antoine Chambaz, Mark J. van der Laan
Post-Contextual-Bandit Inference. NeurIPS (2021)
Aurélien Bibaut, Nathan Kallus, Maria Dimakopoulou, Antoine Chambaz, Mark J. van der Laan
Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. NeurIPS (2021)
Ivana Malenica, Aurélien Bibaut, Mark J. van der Laan
Adaptive Sequential Design for a Single Time-Series. CoRR (2021)
Aurélien Bibaut, Antoine Chambaz, Mark J. van der Laan
Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. UAI (2020)
Nikos Vlassis, Aurélien Bibaut, Maria Dimakopoulou, Tony Jebara
On the Design of Estimators for Bandit Off-Policy Evaluation. ICML (2019)
Aurélien Bibaut, Ivana Malenica, Nikos Vlassis, Mark J. van der Laan
More Efficient Off-Policy Evaluation through Regularized Targeted Learning. ICML (2019)
Cheng Ju, Aurélien Bibaut, Mark J. van der Laan
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification. CoRR (2017)