Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems

Akos Lada, Alexander Peysakhovich, Diego Aparicio, Michael Bailey. Observational Data for Heterogeneous Treatment Effects with Application to Recommender Systems. In Anna Karlin, Nicole Immorlica, Ramesh Johari, editors, Proceedings of the 2019 ACM Conference on Economics and Computation, EC 2019, Phoenix, AZ, USA, June 24-28, 2019. pages 199-213, ACM, 2019. [doi]

Abstract

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