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04/23/2023
Policy Learning under Biased Sample Selection
Practitioners often use data from a randomized controlled trial to learn...
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09/05/2022
Learning from a Biased Sample
The empirical risk minimization approach to data-driven decision making ...
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04/04/2022
Policy Learning with Competing Agents
Decision makers often aim to learn a treatment assignment policy under a...
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07/12/2021
Calibrating Predictions to Decisions: A Novel Approach to Multi-Class Calibration
When facing uncertainty, decision-makers want predictions they can trust...
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07/20/2020