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Eytan Bakshy
Data Scientist
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I am particularly interested developing scalable and robust methods for sequential experimentation and reinforcement learning for real-world applications. In my former life, was interested in substantive questions around the role of peer effects in online and offline behaviors, including information diffusion and civic engagement.
Papers38 papers
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NeurIPS, (2020)
Maximilian Balandat,Brian Karrer,Daniel Jiang, Samuel Daulton, Ben Letham,Andrew Gordon Wilson,Eytan Bakshy
NeurIPS 2020, (2020)
Journal of the American Statistical Association, pp.1-11, (2020)
Bayesian Analysis, no. 2 (2019): 495-519
Proceedings of the ACM on Programming Languages, no. OOPSLA (2019): 182
KDD, (2019)
arXiv: Machine Learning, (2018)
CHI, (2018)
arXiv: Methodology, (2017)
Proceedings of the National Academy of Sciences of the United States of America, no. 27 (2016)
Science (New York, N.Y.), no. 6239 (2015): 1130-1132
science, no. 6239 (2015): 1130-1132
WWW (Companion Volume), pp.1543-1543, (2015)
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