Raul Astudillo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 19

Top Topics

Preference Learning

Optimization Problems

Monte Carlo Sampling

Top Venues

Publications

Raul Astudillo, Kejun Li, Maegan Tucker, Chu Xin Cheng, Aaron D. Ames, Yisong Yue
Preferential Multi-Objective Bayesian Optimization. CoRR (2024)
Qian Xie, Raul Astudillo, Peter I. Frazier, Ziv Scully, Alexander Terenin
Cost-aware Bayesian optimization via the Pandora's Box Gittins index. CoRR (2024)
Poompol Buathong, Jiayue Wan, Samuel Daulton, Raul Astudillo, Maximilian Balandat, Peter I. Frazier
Bayesian Optimization of Function Networks with Partial Evaluations. CoRR (2023)
Raul Astudillo, Zhiyuan (Jerry) Lin, Eytan Bakshy, Peter I. Frazier
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization. AISTATS (2023)
Raul Astudillo, Zhiyuan (Jerry) Lin, Eytan Bakshy, Peter I. Frazier
qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization. CoRR (2023)
Raul Astudillo, Peter I. Frazier
Thinking inside the box: A tutorial on grey-box Bayesian optimization. CoRR (2022)
Zhiyuan (Jerry) Lin, Raul Astudillo, Peter I. Frazier, Eytan Bakshy
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes. CoRR (2022)
Zhiyuan (Jerry) Lin, Raul Astudillo, Peter I. Frazier, Eytan Bakshy
Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes. AISTATS (2022)
Raul Astudillo, Peter I. Frazier
Thinking Inside the Box: A Tutorial on Grey-Box Bayesian Optimization. WSC (2021)
Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs. NeurIPS (2021)
Raul Astudillo, Peter I. Frazier
Bayesian Optimization of Function Networks. CoRR (2021)
Raul Astudillo, Peter I. Frazier
Bayesian Optimization of Function Networks. NeurIPS (2021)
Raul Astudillo, Daniel R. Jiang, Maximilian Balandat, Eytan Bakshy, Peter I. Frazier
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs. CoRR (2021)
Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou
Bayesian Optimization of Risk Measures. NeurIPS (2020)
Sait Cakmak, Raul Astudillo, Peter I. Frazier, Enlu Zhou
Bayesian Optimization of Risk Measures. CoRR (2020)
Raul Astudillo, Peter I. Frazier
Multi-attribute Bayesian optimization with interactive preference learning. AISTATS (2020)
Raul Astudillo, Peter I. Frazier
Bayesian Optimization of Composite Functions. CoRR (2019)
Raul Astudillo, Peter I. Frazier
Bayesian Optimization of Composite Functions. ICML (2019)
Raul Astudillo, Peter I. Frazier
Bayesian Optimization with Uncertain Preferences over Attributes. CoRR (2019)