The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification. - Cheng Ju; Aurélien Bibaut; Mark J. van der Laan (CoRR, 2017)

More Efficient Off-Policy Evaluation through Regularized Targeted Learning. - Aurélien Bibaut; Ivana Malenica; Nikos Vlassis; Mark J. van der Laan (ICML, 2019)

On the Design of Estimators for Bandit Off-Policy Evaluation. - Nikos Vlassis; Aurélien Bibaut; Maria Dimakopoulou; Tony Jebara (ICML, 2019)

Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits. - Aurélien Bibaut; Antoine Chambaz; Mark J. van der Laan (UAI, 2020)

Rate-adaptive model selection over a collection of black-box contextual bandit algorithms. - Aurélien F. Bibaut; Antoine Chambaz; Mark J. van der Laan (CoRR, 2020)

Post-Contextual-Bandit Inference. - Aurélien Bibaut; Maria Dimakopoulou; Nathan Kallus; Antoine Chambaz; Mark J. van der Laan (NeurIPS, 2021)

Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning. - Aurélien Bibaut; Nathan Kallus; Maria Dimakopoulou; Antoine Chambaz; Mark J. van der Laan (NeurIPS, 2021)

Adaptive Sequential Design for a Single Time-Series. - Ivana Malenica; Aurélien Bibaut; Mark J. van der Laan (CoRR, 2021)

Statistical methods for causal inference fromsequentially collected data and sequential decisionmaking. - Aurélien F. Bibaut (2021)

Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments. - Allen Tran; Aurélien Bibaut; Nathan Kallus (ICML, 2024)

Learning the Covariance of Treatment Effects Across Many Weak Experiments. - Aurélien Bibaut; Winston Chou; Simon Ejdemyr; Nathan Kallus (KDD, 2024)

Automatic Double Reinforcement Learning in Semiparametric Markov Decision Processes with Applications to Long-Term Causal Inference. - Lars van der Laan; David Hubbard; Allen Tran; Nathan Kallus; Aurélien Bibaut (CoRR, 2025)

Simulation-Based Inference for Adaptive Experiments. - Brian M. Cho; Aurélien Bibaut; Nathan Kallus (CoRR, 2025)

Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data. - Geoffrey Ecoto; Aurélien F. Bibaut; Antoine Chambaz (Comput. Stat., 2025)