Estimation Considerations in Contextual Bandits. - Maria Dimakopoulou; Susan Athey; Guido Imbens (CoRR, 2017)

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption. - Susan Athey; Guido Imbens (CoRR, 2018)

Balanced Linear Contextual Bandits. - Maria Dimakopoulou; Zhengyuan Zhou; Susan Athey; Guido Imbens (AAAI, 2019)

Decoupling Learning Rates Using Empirical Bayes Priors. - Sareh Nabi; Houssam Nassif; Joseph Hong; Hamed Mamani; Guido Imbens (CoRR, 2020)

Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls. - Nick Doudchenko; Khashayar Khosravi; Jean Pouget-Abadie; Sébastien Lahaie; Miles Lubin; Vahab S. Mirrokni; Jann Spiess; Guido Imbens (NeurIPS, 2021)

Multiple Randomization Designs. - Patrick Bajari; Brian Burdick; Guido W. Imbens; Lorenzo Masoero; James McQueen; Thomas S. Richardson 001; Ido M. Rosen (CoRR, 2021)

Bayesian Meta-Prior Learning Using Empirical Bayes. - Sareh Nabi; Houssam Nassif; Joseph Hong; Hamed Mamani; Guido Imbens (Manag. Sci., 2022)

Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control. - Jann Spiess; Guido Imbens; Amar Venugopal (NeurIPS, 2023)

Estimating the Value of Evidence-Based Decision Making. - Alberto Abadie; Anish Agarwal; Guido Imbens; Siwei Jia; James McQueen; Serguei Stepaniants (CoRR, 2023)

Optimal Experimental Design for Staggered Rollouts. - Ruoxuan Xiong; Susan Athey; Mohsen Bayati; Guido Imbens (Manag. Sci., 2024)

Admissibility of Completely Randomized Trials: A Large-Deviation Approach. - Guido Imbens; Chao Qin; Stefan Wager (EC, 2025)

Identification of Average Treatment Effects in Nonparametric Panel Models. - Susan Athey; Guido Imbens (CoRR, 2025)