Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems
Proceedings of the 2019 ACM Conference on Economics and Computation, pp. 199-213, 2019.
Decision makers in health, public policy, technology, and social science are increasingly interested in going beyond 'one-size-fits-all' policies to personalized ones. Thus, they are faced with the problem of estimating heterogeneous causal effects. Unfortunately, estimating heterogeneous effects from randomized data requires large amount...More
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