Peter I. Frazier
Applied operations research; Bayesian optimization; machine learning; simulation; optimal learning
Current Research Interest
Bayesian optimization; ride-sharing; materials design; incentivizing exploration; multi-armed bandits and games
National Science Foundation Early Career Award
Air Force Office of Scientific Research Young Investigator Award
ACM Conference on Economics and Computation Best Paper Award
Winter Simulation Conference Titan of Simulation
Tallorin, Lorillee, JiaLei Wang, Woojoo E. Kim, Swagat Sahu, Nicolas M. Kosa, Pu Yang, Matthew C. Thompson, Michael K. Gilson, Peter I. Frazier, Michael D. Burkart, and Nathan C. Gianneschi. “Discovering de Novo Peptide Substrates for Enzymes Using Machine Learning.” Nature Communications 9 (2018).
Wu, Jian, Matthias U. Poloczek, Andrew G. Wilson, and Peter I. Frazier. “Bayesian Optimization with Gradients.” Advances in Neural Information Processing Systems 30 (NIPS), (2017).