I am a Senior Scientist on Meta's Core Data Science team, where I lead the Adaptive Experimentation group. I am particularly interested developing scalable and robust methods for causal inference and reinforcement learning that help people design and optimize better systems.
Reinforcement learning, causal inference, multi-armed bandits, bayesian optimization and field experiments
Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Mia Garrard, Yin Huang, Sze Wai Yuen, Sarah Tran, Zehui Wang, Igor Glotov, Tanvi Gupta, Peng Chen, Boshuang Huang, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou
Sam Daulton, Sait Cakmak, Max Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy
Ben Letham, Roberto Calandra, Akshara Rai, Eytan Bakshy
Ben Letham, Eytan Bakshy
Qing Feng, Ben Letham, Hongzi Mao, Eytan Bakshy
Wesley J. Maddox, Max Balandat, Andrew Gordon Wilson, Eytan Bakshy
September 17, 2018
Efficient tuning of online systems using Bayesian optimization
May 7, 2015
Exposure to Diverse Information on Facebook
