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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.
Papers40 papers
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Maximilian Balandat,Brian Karrer,Daniel R. Jiang, Samuel Daulton, Benjamin Letham,Andrew Gordon Wilson,Eytan Bakshy
NeurIPS, (2020)
Journal of the American Statistical Association, pp.1-11, (2020)
NIPS 2020, (2020)
Maximilian Balandat,Brian Karrer,Daniel Jiang, Samuel Daulton, Ben Letham,Andrew Gordon Wilson,Eytan Bakshy
NIPS 2020, (2020)
NIPS 2020, (2020)
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA..., pp.2914.0-2922.0, (2019)
Bayesian Analysis, no. 2 (2019): 495-519
Proceedings of the ACM on Programming Languages, no. OOPSLA (2019): 182
KDD, (2019)
CHI, (2018)
arXiv: Machine Learning, (2018)
arXiv: Methodology, (2017)
Proceedings of the National Academy of Sciences of the United States of America, no. 27 (2016)
science, no. 6239 (2015): 1130-1132
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