Published
2024
- Yan Leng and Drew Dimmery. (2024) "Calibration of Heterogeneous Treatment Effects in Randomized Experiments."
Preprint
Published
2023
- Andrew Guess, Neil Malhotra, Jennifer Pan, Pablo Barberá, Hunt Alcott, Taylor Brown, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Matthew Gentzkow, Sandra González-Bailón, Edward Kennedy, Young Mie Kim, David Lazer, Devra Moehler, Brendan Nyhan, Carlos Velasco Rivera, Jaime Settle, Daniel Thomas, Emily Thorson, Rebekah Tromble, Arjun Wilkins, Magdalena Wojcieszak, Beixian Xiong, Chad Kiewet de Jong, Annie Franco, Winter Mason, Natalie Jomini Stroud, and Joshua Tucker. (2023) "How do social media feed algorithms affect attitudes and behavior in an election campaign?." Science
Published
- Andrew Guess, Neil Malhotra, Jennifer Pan, Pablo Barberá, Hunt Alcott, Taylor Brown, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Matthew Gentzkow, Sandra González-Bailón, Edward Kennedy, Young Mie Kim, David Lazer, Devra Moehler, Brendan Nyhan, Carlos Velasco Rivera, Jaime Settle, Daniel Thomas, Emily Thorson, Rebekah Tromble, Arjun Wilkins, Magdalena Wojcieszak, Beixian Xiong, Chad Kiewet de Jong, Annie Franco, Winter Mason, Natalie Jomini Stroud, and Joshua Tucker. (2023) "Reshares on social media amplify political news but do not detectably affect beliefs or opinions." Science
Published
- Brendan Nyhan, Jaime Settle, Emily Thorson, Magdalena Wojcieszak, Pablo Barberá, Annie Chen, Hunt Alcott, Taylor Brown, Adriana Crespo-Tenorio, Drew Dimmery, Deen Freelon, Matthew Gentzkow, Sandra González-Bailón, Andrew Guess, Edward Kennedy, Young Mie Kim, David Lazer, Neil Malhotra, Devra Moehler, Jennifer Pan, Daniel Thomas, Rebekah Tromble, Carlos Velasco Rivera, Arjun Wilkins, Beixian Xiong, Chad Kiewet de Jong, Annie Franco, Winter Mason, Natalie Jomini Stroud, and Joshua Tucker. (2023) "Like-minded sources on Facebook are prevalent but not polarizing." Nature
Published
- Miloš Fišar, Ben Greiner, Christoph Huber, Elena Katok, Ali Ozkes, and Management Science Reproducibility Collaboration. (2023) "Reproducibility in Management Science."
Preprint
Published
2022
- David Arbour, Drew Dimmery, Tung Mai, and Anup Rao. (2022) "Online Balanced Experimental Design." ICML
Preprint
Published
- Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, and Eytan Bakshy. (2022) "Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies."
Preprint
Published
2021
- David Arbour, Drew Dimmery, and Arjun Sondhi. (2021) "Permutation Weighting." ICML
Preprint
Published
- David Arbour, Drew Dimmery, and Anup Rao. (2021) "Efficient Balanced Treatment Assignments for Experimentation." AISTATS
Preprint
Github
Published
- My Phan, David Arbour, Drew Dimmery, and Anup Rao. (2021) "Designing Transportable Experiments Under S-admissability." AISTATS
Preprint
Github
Published
2020
- Arjun Sondhi, David Arbour, and Drew Dimmery. (2020) "Balanced off-policy evaluation in general action spaces." AISTATS
Preprint
Published
2019
- Drew Dimmery, Eytan Bakshy, and Jasjeet Sekhon. (2019) "Shrinkage Estimators in Online Experiments." KDD
Preprint
Published
2016
- Drew Dimmery and Andrew Peterson. (2016) "Shining the Light on Dark Money: Political Spending by Nonprofits." RSF: The Russell Sage Foundation Journal of the Social Sciences
Published
2012
- C.T Kullenberg, S.R. Mishra, Drew Dimmery, and the NOMAD Collaboration. (2012) "A search for single photon events in neutrino interactions." Physics Letters B
Published
Working Papers / Non-archival
2021
- Molly Offer-Westort and Drew Dimmery. (2021) "Experimentation for Homogenous Policy Change."
Preprint
2019
- Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, and Eytan Bakshy. (2019) "Real-world Video Adaptation with Reinforcement Learning." ICML Workshop - RL4RealLife
Preprint
- Sam Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, and Eytan Bakshy. (2019) "Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints." NeurIPS Workshop - Safety and Robustness in Decision Making
Preprint