Publications

Qian Xie, Raul Astudillo, Peter Frazier, Ziv Scully, Alexander Terenin (2024). Cost-Aware Bayesian Optimization via the Pandora Box Gittins Index. Preprint.

Jason Yang, Ravi G Lal, James C Bowden, Raul Astudillo, Mikhail A Hameedi, Sukhvinder Kaur, Matthew Hill, Yisong Yue, Frances H Arnold (2024). Active Learning-Assited Directed Evolution. Preprint.

Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D Ames, Yisong Yue (2024). Preferential Multi-Objective Bayesian Optimization. Preprint.

Poompol Buathong, Jiayue Wan, Raul Astudillo, Sam Daulton, Max Balandat, Peter Frazier (2024). Bayesian Optimization of Function Networks with Partial Evaluations. Proceedings of the 41st International Conference on Machine Learning.

Jean-Luc Jannink, Raul Astudillo, Peter I Frazier (2023). Insight Into a Two-Part Plant Breeding Scheme Through Bayesian Optimization of Budget Allocations. Crop Science.

Raul Astudillo, Zhiyuan Jerry Lin, Eytan Bakshy, Peter I Frazier (2023). qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization. Proceedings of the 26th International Conference on Artificial Intelligence and Statistics.

Zachary Cosenza, Raul Astudillo, Peter I Frazier, Keith Baar, David E Block (2022). Multi-information Source Bayesian Optimization of Culture Media for Cellular Agriculture. Biotechnology and Bioengineering.

Zhiyuan Jerry Lin, Raul Astudillo, Peter I Frazier, Eytan Bakshy (2022). Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes. Proceedings of the 25th International Conference on Artificial Intelligence and Statistics.

Raul Astudillo, Peter I Frazier (2021). Thinking Inside the Box: A Tutorial on Grey-Box Bayesian Optimization. Proceedings of the 2021 Winter Simulation Conference.

Bhavik A Shah, Raul Astudillo, Peter I Frazier (2021). Mixed Integer Linear Programming under Preference Uncertainty. Working Paper.

Raul Astudillo, Daniel R Jiang, Maximilian Balandat, Peter I Frazier, Eytan Bakshy (2021). Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs. Advances in Neural Information Processing Systems.

Raul Astudillo, Peter I Frazier (2021). Bayesian Optimization of Function Networks. Advances in Neural Information Processing Systems.

Sait Cakmak, Raul Astudillo, Peter I Frazier, Enlu Zhou (2020). Bayesian Optimization of Risk Measures. Advances in Neural Information Processing Systems.

Raul Astudillo, Peter I Frazier (2020). Multi-Attribute Bayesian Optimization With Interactive Preference Learning. Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics.

Raul Astudillo, Peter I Frazier (2019). Bayesian Optimization of Composite Functions. Proceedings of the 36th International Conference on Machine Learning.

Raul Astudillo, Peter I Frazier (2017). Multi-Attribute Bayesian Optimization Under Utility Uncertainty. NIPS Workshop on Bayesian Optimization.