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03/08/2023
Automatic Debiased Learning from Positive, Unlabeled, and Exposure Data
We address the issue of binary classification from positive and unlabele...
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08/03/2021
Learning Causal Relationships from Conditional Moment Conditions by Importance Weighting
We consider learning causal relationships under conditional moment condi...
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10/23/2020
A Practical Guide of Off-Policy Evaluation for Bandit Problems
Off-policy evaluation (OPE) is the problem of estimating the value of a ...
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09/28/2020
Learning Classifiers under Delayed Feedback with a Time Window Assumption
We consider training a binary classifier under delayed feedback (DF Lear...
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02/26/2020
Off-Policy Evaluation and Learning for External Validity under a Covariate Shift
We consider the evaluation and training of a new policy for the evaluati...
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02/20/2020
Safe Counterfactual Reinforcement Learning
We develop a method for predicting the performance of reinforcement lear...
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02/06/2020
A Feedback Shift Correction in Predicting Conversion Rates under Delayed Feedback
In display advertising, predicting the conversion rate, that is, the pro...
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10/04/2019
Dual Learning Algorithm for Delayed Feedback in Display Advertising
In display advertising, predicting the conversion rate, that is, the pro...
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09/11/2019
Counterfactual Cross-Validation: Effective Causal Model Selection from Observational Data
What is the most effective way to select the best causal model among pot...
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08/21/2019
A Contextual Bandit Algorithm for Ad Creative under Ad Fatigue
Selecting ad creative is one of the most important task for DSPs (Demand...
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09/10/2018