1.6k citations · 1.9k across the 35 of their papers we have counts for
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Contextual Bandits in a Survey Experiment on Charitable Giving: Within-Experiment Outcomes versus Policy Learning
Susan Athey, Undral Byambadalai, Vitor Hadad +3
We design and implement an adaptive experiment (a ``contextual bandit'') to learn a targeted treatment assignment policy, where the goal is to use a participant's survey responses…
Personalized Recommendations in EdTech: Evidence from a Randomized Controlled Trial
Keshav Agrawal, Susan Athey, Ayush Kanodia +1
We study the impact of personalized content recommendations on the usage of an educational app for children. In a randomized controlled trial, we show that the introduction of pers…
Flexible and Efficient Contextual Bandits with Heterogeneous Treatment Effect Oracles
Aldo Gael Carranza, Sanath Kumar Krishnamurthy, Susan Athey
Contextual bandit algorithms often estimate reward models to inform decision-making. However, true rewards can contain action-independent redundancies that are not relevant for dec…
CAREER: A Foundation Model for Labor Sequence Data
Keyon Vafa, Emil Palikot, Tianyu Du +3
Labor economists regularly analyze employment data by fitting predictive models to small, carefully constructed longitudinal survey datasets. Although machine learning methods offe…