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Peter I Frazier
Peter I Frazier
Associate Professor of Operations Research and Information Engineering, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
A tutorial on Bayesian optimization
PI Frazier
arXiv preprint arXiv:1807.02811, 2018
2501*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
5742008
The knowledge gradient policy for correlated normal beliefs
P Frazier, WB Powell, S Dayanik
INFORMS Journal on Computing 21 (4), 599-613, 2009
5432009
Distance dependent Chinese restaurant processes.
DM Blei, PI Frazier
Journal of Machine Learning Research 12 (8), 2011
4282011
Multi-information source optimization
M Poloczek, J Wang, P Frazier
Advances in neural information processing systems 30, 2017
2632017
Bayesian optimization with gradients
J Wu, M Poloczek, AG Wilson, P Frazier
Advances in neural information processing systems 30, 2017
2582017
Bayesian optimization for materials design
PI Frazier, J Wang
Information science for materials discovery and design, 45-75, 2016
2582016
The parallel knowledge gradient method for batch Bayesian optimization
J Wu, P Frazier
Advances in neural information processing systems 29, 2016
2522016
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
2522011
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
2382012
The knowledge-gradient algorithm for sequencing experiments in drug discovery
DM Negoescu, PI Frazier, WB Powell
INFORMS J. on Computing (to appear), 2010
1952010
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
1942013
Practical multi-fidelity bayesian optimization for hyperparameter tuning
J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson
Uncertainty in Artificial Intelligence, 788-798, 2020
157*2020
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
1572015
Sequential hypothesis testing under stochastic deadlines
P Frazier, AJ Yu
Advances in neural information processing systems 20, 465-472, 2008
1392008
Incentivizing exploration
P Frazier, D Kempe, J Kleinberg, R Kleinberg
Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014
1262014
Sequential sampling with economics of selection procedures
SE Chick, P Frazier
Management Science 58 (3), 550-569, 2012
1122012
Twenty questions with noise: Bayes optimal policies for entropy loss
B Jedynak, PI Frazier, R Sznitman
Journal of Applied Probability, 2012
1112012
Parallel Bayesian global optimization of expensive functions
J Wang, SC Clark, E Liu, PI Frazier
arXiv preprint arXiv:1602.05149, 2016
1092016
Efficient search of compositional space for hybrid organic–inorganic perovskites via Bayesian optimization
HC Herbol, W Hu, P Frazier, P Clancy, M Poloczek
npj Computational Materials 4 (1), 51, 2018
1022018
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