My research focuses on the intersection of machine learning and causal inference. In particular, I work on improving and routinizing the practice of massive online experimentation, developing ML systems which grapple with causality and constructing better estimators for observational causal inference by using machine learning.
Causal inference, experimentation, machine learning
Workshop on Safety and Robustness in Decision Making at NeurIPS - December 2, 2019
Sam Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy