Publications

Jason Yang, Wenda Chu, Daniel Khalil, Raul Astudillo, Bruce J. Wittmann, Frances H. Arnold, Yisong Yue (2025). Steering generative models with experimental data for protein fitness optimization. Advances in Neural Information Processing Systems.

Felix Huber, Sebastian Rojas-Gonzalez, Raul Astudillo (2025). Bayesian preference elicitation for decision support in multi-objective optimization. Journal of Multi-Criteria Decision Analysis.

Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D Ames, Yisong Yue (2025). Preferential multi-objective Bayesian optimization. Transactions on Machine Learning Research.

Jason Yang, Ravi G. Lal, James C. Bowden, Raul Astudillo, Mikhail A. Hameedi, Sukhvinder Kaur, Matthew Hill, Yisong Yue, Frances H. Arnold (2025). Active learning-assisted directed evolution. Nature Communications.

Jean-Luc Jannink, Raul Astudillo, Peter I. Frazier (2025). Insight into a two-part plant breeding scheme through Bayesian optimization of budget allocations. Crop Science.

Chu Xin Cheng, Raul Astudillo, Thomas Desautels, Yisong Yue (2024). Practical Bayesian algorithm execution via posterior sampling. Advances in Neural Information Processing Systems.

Qian Xie, Raul Astudillo, Peter I. Frazier, Ziv Scully, Alexander Terenin (2024). Cost-aware Bayesian Optimization via the Pandora Box Gittins index. Advances in Neural Information Processing Systems.

Bhavik Sha, Raul Astudillo, Peter I. Frazier (2024). Multi-attribute optimization under preference uncertainty. 2024 Winter Simulation Conference (WSC).

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.

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. 2021 Winter Simulation Conference (WSC).

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.