Sam Daulton

Research Scientist

I am a research scientist in the Core Data Science team’s Adaptive Experimentation group. My research focuses on developing methods for contextual bandit optimization, reinforcement learning, and Bayesian optimization. Prior to joining Facebook, I was at Harvard University, where my work focused on developing robust and efficient transfer learning methods to advance towards disseminating reinforcement learning to high-stakes human applications.


Bayesian optimization, contextual bandits, reinforcement learning, transfer learning

Latest Publications

Thompson Sampling for Contextual Bandit Problems with Auxiliary Safety Constraints

Sam Daulton, Shaun Singh, Vashist Avadhanula, Drew Dimmery, Eytan Bakshy

Workshop on Safety and Robustness in Decision Making at NeurIPS - December 2, 2019