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Eytan Bakshy

Practical Policy Optimization with Personalized Experimentation

Mar 30, 2023
Mia Garrard, Hanson Wang, Ben Letham, Shaun Singh, Abbas Kazerouni, Sarah Tan, Zehui Wang, Yin Huang, Yichun Hu, Chad Zhou, Norm Zhou, Eytan Bakshy

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* 5 pages, 2 figures

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qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization

Mar 28, 2023
Raul Astudillo, Zhiyuan Jerry Lin, Eytan Bakshy, Peter I. Frazier

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* In Proceedings of the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023

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Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization

Oct 18, 2022
Samuel Daulton, Xingchen Wan, David Eriksson, Maximilian Balandat, Michael A. Osborne, Eytan Bakshy

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* To appear in Advances in Neural Information Processing Systems 35, 2022. Code available at: https://github.com/facebookresearch/bo_pr

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Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation

Mar 18, 2022
Benjamin Letham, Phillip Guan, Chase Tymms, Eytan Bakshy, Michael Shvartsman

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* In: Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, AISTATS

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Robust Multi-Objective Bayesian Optimization Under Input Noise

Feb 16, 2022
Samuel Daulton, Sait Cakmak, Maximilian Balandat, Michael A. Osborne, Enlu Zhou, Eytan Bakshy

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* 41 pages. Code is available at https://github.com/facebookresearch/robust_mobo

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Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs

Nov 12, 2021
Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier

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* In Advances in Neural Information Processing Systems, 2021

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Looper: An end-to-end ML platform for product decisions

Nov 10, 2021
Igor L. Markov, Hanson Wang, Nitya Kasturi, Shaun Singh, Sze Wai Yuen, Mia Garrard, Sarah Tran, Yin Huang, Zehui Wang, Igor Glotov, Tanvi Gupta, Boshuang Huang, Peng Chen, Xiaowen Xie, Michael Belkin, Sal Uryasev, Sam Howie, Eytan Bakshy, Norm Zhou

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* 10 pages + references, 5 figures

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