45 citations · 114 across the 14 of their papers we have counts for
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Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints
Samuel Daulton, Shaun Singh, Vashist Avadhanula +2
Recent advances in contextual bandit optimization and reinforcement learning have garnered interest in applying these methods to real-world sequential decision making problems. Rea…
Balanced off-policy evaluation in general action spaces
Arjun Sondhi, David Arbour, Drew Dimmery
Estimation of importance sampling weights for off-policy evaluation of contextual bandits often results in imbalance - a mismatch between the desired and the actual distribution of…
Shrinkage Estimators in Online Experiments
Drew Dimmery, Eytan Bakshy, Jasjeet Sekhon
We develop and analyze empirical Bayes Stein-type estimators for use in the estimation of causal effects in large-scale online experiments. While online experiments are generally t…
Permutation Weighting
David Arbour, Drew Dimmery, Arjun Sondhi
In observational causal inference, in order to emulate a randomized experiment, weights are used to render treatments independent of observed covariates. This property is known as…