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Journal Articles
- 2024
[j2]Ruoxuan Xiong
, Susan Athey, Mohsen Bayati, Guido Imbens:
Optimal Experimental Design for Staggered Rollouts. Manag. Sci. 70(8): 5317-5336 (2024)- 2022
- [j1]Sareh Nabi, Houssam Nassif, Joseph Hong, Hamed Mamani, Guido Imbens:
Bayesian Meta-Prior Learning Using Empirical Bayes. Manag. Sci. 68(3): 1737-1755 (2022)
Conference and Workshop Papers
- 2023
- [c3]Jann Spiess, Guido Imbens, Amar Venugopal:
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control. NeurIPS 2023 - 2021
- [c2]Nick Doudchenko, Khashayar Khosravi, Jean Pouget-Abadie, Sébastien Lahaie, Miles Lubin, Vahab S. Mirrokni, Jann Spiess, Guido Imbens:
Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls. NeurIPS 2021: 8691-8701 - 2019
- [c1]Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. AAAI 2019: 3445-3453
Informal and Other Publications
- 2023
- [i6]Alberto Abadie, Anish Agarwal, Guido Imbens, Siwei Jia, James McQueen, Serguei Stepaniants:
Estimating the Value of Evidence-Based Decision Making. CoRR abs/2306.13681 (2023) - 2021
- [i5]Patrick Bajari, Brian Burdick, Guido W. Imbens, Lorenzo Masoero, James McQueen, Thomas S. Richardson, Ido M. Rosen:
Multiple Randomization Designs. CoRR abs/2112.13495 (2021) - 2020
- [i4]Sareh Nabi, Houssam Nassif, Joseph Hong, Hamed Mamani, Guido Imbens:
Decoupling Learning Rates Using Empirical Bayes Priors. CoRR abs/2002.01129 (2020) - 2018
- [i3]Susan Athey, Guido Imbens:
Design-based Analysis in Difference-In-Differences Settings with Staggered Adoption. CoRR abs/1808.05293 (2018) - [i2]Maria Dimakopoulou, Zhengyuan Zhou, Susan Athey, Guido Imbens:
Balanced Linear Contextual Bandits. CoRR abs/1812.06227 (2018) - 2017
- [i1]Maria Dimakopoulou, Susan Athey, Guido Imbens:
Estimation Considerations in Contextual Bandits. CoRR abs/1711.07077 (2017)
Coauthor Index
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