Drew Dimmery

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 13

Top Topics

Doubly Stochastic

Experimental Designs

Bandit Problems

Top Venues

Publications

Laura Koesten, Drew Dimmery, Michael Gleicher, Torsten Möller
Subjective visualization experiences: impact of visual design and experimental design. CoRR (2023)
Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy
Interpretable Personalized Experimentation. KDD (2022)
David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao
Online Balanced Experimental Design. ICML (2022)
David Arbour, Drew Dimmery, Arjun Sondhi
Permutation Weighting. ICML (2021)
David Arbour, Drew Dimmery, Anup B. Rao
Efficient Balanced Treatment Assignments for Experimentation. AISTATS (2021)
Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy
Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies. CoRR (2021)
My Phan, David Arbour, Drew Dimmery, Anup B. Rao
Designing Transportable Experiments Under S-admissability. AISTATS (2021)
David Arbour, Drew Dimmery, Tung Mai, Anup B. Rao
Online Discrepancy Minimization via Persistent Self-Balancing Walks. CoRR (2021)
Arjun Sondhi, David Arbour, Drew Dimmery
Balanced Off-Policy Evaluation in General Action Spaces. AISTATS (2020)
Hongzi Mao, Shannon Chen, Drew Dimmery, Shaun Singh, Drew Blaisdell, Yuandong Tian, Mohammad Alizadeh, Eytan Bakshy
Real-world Video Adaptation with Reinforcement Learning. CoRR (2020)
Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon
Shrinkage Estimators in Online Experiments. KDD (2019)
Arjun Sondhi, David Arbour, Drew Dimmery
Balanced Off-Policy Evaluation in General Action Spaces. CoRR (2019)
Samuel Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints. CoRR (2019)