Peter I Frazier
Peter I Frazier
Associate Professor of Operations Research and Information Engineering, Cornell University
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A tutorial on Bayesian optimization
PI Frazier
arXiv preprint arXiv:1807.02811, 2018
A knowledge-gradient policy for sequential information collection
PI Frazier, WB Powell, S Dayanik
SIAM Journal on Control and Optimization 47 (5), 2410-2439, 2008
The knowledge gradient policy for correlated normal beliefs
P Frazier, WB Powell, S Dayanik
INFORMS Journal on Computing 21 (4), 599-613, 2009
Distance dependent Chinese restaurant processes.
DM Blei, PI Frazier
Journal of Machine Learning Research 12 (8), 2011
The Correlated Knowledge Gradient for Simulation Optimization of Continuous Parameters using Gaussian Process Regression
W Scott, P Frazier, W Powell
SIAM Journal on Optimization 21, 996, 2011
The knowledge gradient algorithm for a general class of online learning problems
IO Ryzhov, WB Powell, PI Frazier
Operations Research 60 (1), 180-195, 2012
Multi-information source optimization
M Poloczek, J Wang, P Frazier
Advances in neural information processing systems 30, 2017
Bayesian optimization with gradients
J Wu, M Poloczek, AG Wilson, P Frazier
Advances in neural information processing systems 30, 2017
The parallel knowledge gradient method for batch Bayesian optimization
J Wu, P Frazier
Advances in neural information processing systems 29, 2016
ALE: a generic assembly likelihood evaluation framework for assessing the accuracy of genome and metagenome assemblies
SC Clark, R Egan, PI Frazier, Z Wang
Bioinformatics 29 (4), 435-443, 2013
Bayesian optimization for materials design
PI Frazier, J Wang
Information science for materials discovery and design, 45-75, 2016
Parallel Bayesian global optimization of expensive functions
J Wang, SC Clark, E Liu, PI Frazier
Operations Research 68 (6), 2020
The knowledge-gradient algorithm for sequencing experiments in drug discovery
DM Negoescu, PI Frazier, WB Powell
INFORMS J. on Computing (to appear), 2010
Predicting bike usage for new york city’s bike sharing system
D Singhvi, S Singhvi, PI Frazier, SG Henderson, E O'Mahony, DB Shmoys, ...
Workshops at the twenty-ninth AAAI conference on artificial intelligence, 2015
Sequential hypothesis testing under stochastic deadlines
P Frazier, AJ Yu
Advances in neural information processing systems 20, 465-472, 2008
Sequential sampling with economics of selection procedures
SE Chick, P Frazier
Management Science 58 (3), 550-569, 2012
Twenty questions with noise: Bayes optimal policies for entropy loss
B Jedynak, PI Frazier, R Sznitman
Journal of Applied Probability, 2012
Incentivizing exploration
P Frazier, D Kempe, J Kleinberg, R Kleinberg
Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014
Practical multi-fidelity Bayesian optimization for hyperparameter tuning
J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson
Uncertainty in Artificial Intelligence, 788-798, 2020
Bisection search with noisy responses
R Waeber, PI Frazier, SG Henderson
SIAM Journal on Control and Optimization 51 (3), 2261-2279, 2013
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