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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 High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings


Mar 03, 2023
Aryan Deshwal, Sebastian Ament, Maximilian Balandat, Eytan Bakshy, Janardhan Rao Doppa, David Eriksson

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* Appearing in 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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Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes


Mar 21, 2022
Zhiyuan Jerry Lin, Raul Astudillo, Peter I. Frazier, Eytan Bakshy

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* AISTATS 2022 

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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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Sparse Bayesian Optimization


Mar 03, 2022
Sulin Liu, Qing Feng, David Eriksson, Benjamin Letham, Eytan Bakshy

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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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