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03/03/2022
Online Balanced Experimental Design
e consider the experimental design problem in an online environment, an ...
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11/05/2021
Distilling Heterogeneity: From Explanations of Heterogeneous Treatment Effect Models to Interpretable Policies
Internet companies are increasingly using machine learning models to cre...
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02/04/2021
Online Discrepancy Minimization via Persistent Self-Balancing Walks
We study the online discrepancy minimization problem for vectors in ℝ^d ...
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01/28/2021
Experimentation for Homogenous Policy Change
When the Stable Unit Treatment Value Assumption (SUTVA) is violated and ...
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10/21/2020
Efficient Balanced Treatment Assignments for Experimentation
In this work, we reframe the problem of balanced treatment assignment as...
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09/08/2020
Designing Transportable Experiments
We consider the problem of designing a randomized experiment on a source...
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08/28/2020
Real-world Video Adaptation with Reinforcement Learning
Client-side video players employ adaptive bitrate (ABR) algorithms to op...
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11/02/2019
Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints
Recent advances in contextual bandit optimization and reinforcement lear...
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06/09/2019
Balanced Off-Policy Evaluation in General Action Spaces
In many practical applications of contextual bandits, online learning is...
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06/09/2019
Balanced Off-Policy Evaluation General Action Spaces
In many practical applications of contextual bandits, online learning is...
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04/29/2019
Shrinkage Estimators in Online Experiments
We develop and analyze empirical Bayes Stein-type estimators for use in ...
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01/04/2019