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Peter I Frazier
Peter I Frazier
Associate Professor of Operations Research and Information Engineering, Cornell University
cornell.edu의 이메일 확인됨 - 홈페이지
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A tutorial on Bayesian optimization
PI Frazier
arXiv preprint arXiv:1807.02811, 2018
2423*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
5712008
The knowledge gradient policy for correlated normal beliefs
P Frazier, WB Powell, S Dayanik
INFORMS Journal on Computing 21 (4), 599-613, 2009
5402009
Distance dependent Chinese restaurant processes.
DM Blei, PI Frazier
Journal of Machine Learning Research 12 (8), 2011
4252011
Bayesian optimization with gradients
J Wu, M Poloczek, AG Wilson, P Frazier
Advances in neural information processing systems 30, 2017
2552017
Bayesian optimization for materials design
PI Frazier, J Wang
Information science for materials discovery and design, 45-75, 2016
2552016
Multi-information source optimization
M Poloczek, J Wang, P Frazier
Advances in neural information processing systems 30, 2017
2532017
The parallel knowledge gradient method for batch Bayesian optimization
J Wu, P Frazier
Advances in neural information processing systems 29, 2016
2502016
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
2502011
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
2352012
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
1922013
The knowledge-gradient algorithm for sequencing experiments in drug discovery
DM Negoescu, PI Frazier, WB Powell
INFORMS J. on Computing (to appear), 2010
1922010
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
1552015
Practical multi-fidelity bayesian optimization for hyperparameter tuning
J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson
Uncertainty in Artificial Intelligence, 788-798, 2020
152*2020
Sequential hypothesis testing under stochastic deadlines
P Frazier, AJ Yu
Advances in neural information processing systems 20, 465-472, 2008
1372008
Incentivizing exploration
P Frazier, D Kempe, J Kleinberg, R Kleinberg
Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014
1242014
Sequential sampling with economics of selection procedures
SE Chick, P Frazier
Management Science 58 (3), 550-569, 2012
1112012
Parallel Bayesian global optimization of expensive functions
J Wang, SC Clark, E Liu, PI Frazier
arXiv preprint arXiv:1602.05149, 2016
1092016
Twenty questions with noise: Bayes optimal policies for entropy loss
B Jedynak, PI Frazier, R Sznitman
Journal of Applied Probability, 2012
1092012
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
1002018
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