Frazier, Peter

15 publications

AISTATS 2023 qEUBO: A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization Raul Astudillo, Zhiyuan Jerry Lin, Eytan Bakshy, Peter Frazier

AISTATS 2022 Preference Exploration for Efficient Bayesian Optimization with Multiple Outcomes Zhiyuan Jerry Lin, Raul Astudillo, Peter Frazier, Eytan Bakshy

NeurIPS 2021 Bayesian Optimization of Function Networks Raul Astudillo, Peter Frazier

NeurIPS 2021 Constrained Two-Step Look-Ahead Bayesian Optimization Yunxiang Zhang, Xiangyu Zhang, Peter Frazier

NeurIPS 2021 Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs Raul Astudillo, Daniel Jiang, Maximilian Balandat, Eytan Bakshy, Peter Frazier

NeurIPS 2020 Bayesian Optimization of Risk Measures Sait Cakmak, Raul Astudillo Marban, Peter Frazier, Enlu Zhou

AISTATS 2020 Multi-Attribute Bayesian Optimization with Interactive Preference Learning Raul Astudillo, Peter Frazier

ICML 2019 Bayesian Optimization of Composite Functions Raul Astudillo, Peter Frazier

NeurIPS 2019 Practical Two-Step Lookahead Bayesian Optimization Jian Wu, Peter Frazier

NeurIPS 2017 Bayesian Optimization with Gradients Jian Wu, Matthias Poloczek, Andrew G Wilson, Peter Frazier

NeurIPS 2017 Multi-Information Source Optimization Matthias Poloczek, Jialei Wang, Peter Frazier

NeurIPS 2016 The Parallel Knowledge Gradient Method for Batch Bayesian Optimization Jian Wu, Peter Frazier

ICML 2015 Bayesian Multiple Target Localization Purnima Rajan, Weidong Han, Raphael Sznitman, Peter Frazier, Bruno Jedynak

ICML 2013 An Optimal Policy for Target Localization with Application to Electron Microscopy Raphael Sznitman, Aurelien Lucchi, Peter Frazier, Bruno Jedynak, Pascal Fua

NeurIPS 2007 Sequential Hypothesis Testing Under Stochastic Deadlines Peter Frazier, Angela J. Yu