Frazier, Peter I.

14 publications

AutoML 2025 Fast Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong, Peter I. Frazier

ICML 2025 Multi-Armed Bandits with Interference: Bridging Causal Inference and Adversarial Bandits Su Jia, Peter I. Frazier, Nathan Kallus

ICML 2024 Bayesian Optimization of Function Networks with Partial Evaluations Poompol Buathong, Jiayue Wan, Raul Astudillo, Sam Daulton, Maximilian Balandat, Peter I. Frazier

NeurIPSW 2024 Bayesian Optimization of High-Dimensional Outputs with Human Feedback Qing Feng, Zhiyuan Jerry Lin, Yujia Zhang, Benjamin Letham, Jelena Markovic-Voronov, Ryan-Rhys Griffiths, Peter I. Frazier, Eytan Bakshy

NeurIPS 2024 Cost-Aware Bayesian Optimization via the Pandora's Box Gittins Index Qian Xie, Raul Astudillo, Peter I. Frazier, Ziv Scully, Alexander Terenin

NeurIPSW 2023 Provably-Convergent Bayesian Source Seeking with Mobile Agents in Multimodal Fields Vivek Mishra, Raul Astudillo, Peter I. Frazier, Fumin Zhang

ICML 2023 Smooth Non-Stationary Bandits Su Jia, Qian Xie, Nathan Kallus, Peter I. Frazier

UAI 2019 Practical Multi-Fidelity Bayesian Optimization for Hyperparameter Tuning Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson

COLT 2018 Incentivizing Exploration by Heterogeneous Users Bangrui Chen, Peter I. Frazier, David Kempe

ICML 2017 Dueling Bandits with Weak Regret Bangrui Chen, Peter I. Frazier

AISTATS 2016 Bayes-Optimal Effort Allocation in Crowdsourcing: Bounds and Index Policies Weici Hu, Peter I. Frazier

JMLR 2011 Distance Dependent Chinese Restaurant Processes David M. Blei, Peter I. Frazier

JMLR 2011 Hierarchical Knowledge Gradient for Sequential Sampling Martijn R.K. Mes, Warren B. Powell, Peter I. Frazier

ICML 2010 Distance Dependent Chinese Restaurant Processes David M. Blei, Peter I. Frazier