Drew Dimmery

13 papers A* 4A 3Journal 6
YearRankTypeTitle / Venue / Authors
2024 J jnl
Calibration of Heterogeneous Treatment Effects in Randomized Experiments.
Inf. Syst. Res.
Yan Leng, Drew Dimmery
2023 J jnl
Subjective visualization experiences: impact of visual design and experimental design.
CoRR
Laura Koesten, Drew Dimmery, Michael Gleicher, Torsten Möller
2022 A* conf
Interpretable Personalized Experimentation.
KDD
Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel R. Jiang, Eytan Bakshy
2022 A* conf
Online Balanced Experimental Design.
ICML
David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao
2021 A conf
Designing Transportable Experiments Under S-admissability.
AISTATS
My Phan, David Arbour, Drew Dimmery, Anup B. Rao
2021 J jnl
Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies.
CoRR
Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel R. Jiang, Eytan Bakshy
2021 A conf
Efficient Balanced Treatment Assignments for Experimentation.
AISTATS
David Arbour, Drew Dimmery, Anup B. Rao
2021 A* conf
Permutation Weighting.
ICML
David Arbour, Drew Dimmery, Arjun Sondhi
2020 A conf
Balanced Off-Policy Evaluation in General Action Spaces.
AISTATS
Arjun Sondhi, David Arbour, Drew Dimmery
2020 J jnl
Real-world Video Adaptation with Reinforcement Learning.
CoRR
Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy
2019 J jnl
Balanced Off-Policy Evaluation in General Action Spaces.
CoRR
Arjun Sondhi, David Arbour, Drew Dimmery
2019 A* conf
Shrinkage Estimators in Online Experiments.
KDD
Drew Dimmery, Eytan Bakshy, Jasjeet S. Sekhon
2019 J jnl
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints.
CoRR
Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy