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09/08/2023
Offline Recommender System Evaluation under Unobserved Confounding
Off-Policy Estimation (OPE) methods allow us to learn and evaluate decis...
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09/03/2023
Double Clipping: Less-Biased Variance Reduction in Off-Policy Evaluation
"Clipping" (a.k.a. importance weight truncation) is a widely used varian...
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02/02/2023
Practical Bandits: An Industry Perspective
The bandit paradigm provides a unified modeling framework for problems t...
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10/15/2022
Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model
A critical need for industrial recommender systems is the ability to eva...
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08/01/2022
Boosted Off-Policy Learning
We investigate boosted ensemble models for off-policy learning from logg...
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06/29/2018
Bayesian Counterfactual Risk Minimization
We present a Bayesian view of counterfactual risk minimization (CRM), al...
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09/26/2013