Guido Imbens

According to our database, Guido Imbens authored at least 13 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Power Analysis is Essential: High-Powered Tests Suggest Minimal to No Effect of Rounded Shapes on Click-Through Rates.

Ron Kohavi, Jakub Linowski, Lukas Vermeer, Fabrice Boisseranc, Joachim Furuseth, Andrew Gelman, Guido Imbens, Ravikiran Rajagopal

CoRR, December, 2025

Identification of Average Treatment Effects in Nonparametric Panel Models.

Susan Athey, Guido Imbens

CoRR, March, 2025

Admissibility of Completely Randomized Trials: A Large-Deviation Approach.

Guido Imbens, Chao Qin, Stefan Wager

Proceedings of the 26th ACM Conference on Economics and Computation, 2025

2024

Optimal Experimental Design for Staggered Rollouts.

Ruoxuan Xiong, Susan Athey, Mohsen Bayati, Guido Imbens

Manag. Sci., 2024

2023

Estimating the Value of Evidence-Based Decision Making.

Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants

CoRR, 2023

Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control.

Jann Spiess, Guido Imbens, Amar Venugopal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Bayesian Meta-Prior Learning Using Empirical Bayes.

Sareh Nabi, Houssam Nassif, Joseph Hong, Hamed Mamani, Guido Imbens

Manag. Sci., 2022

2021

Multiple Randomization Designs.

Patrick Bajari, Brian Burdick, Guido W. Imbens, Lorenzo Masoero, James McQueen, Thomas S. Richardson, Ido M. Rosen

CoRR, 2021

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Decoupling Learning Rates Using Empirical Bayes Priors.

Sareh Nabi, Houssam Nassif, Joseph Hong, Hamed Mamani, Guido Imbens

CoRR, 2020

2019

Balanced Linear Contextual Bandits.

Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption.

Susan Athey, Guido Imbens

CoRR, 2018

2017

Estimation Considerations in Contextual Bandits.

Maria Dimakopoulou, Susan Athey, Guido Imbens

CoRR, 2017