Susan Athey
Stanford Graduate School of Business

Machine Learning and Causal Inference for Heterogeneous Treatment Effects [link is to a series of papers]

This talk will review recently developed methods to apply machine learning methods to causal inference problems, including the problems of estimating heterogeneous treatment effects, for example, in A/B testing, as well as in estimating optimal treatment assignment policies.