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
429*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
3782008
The knowledge gradient policy for correlated normal beliefs
P Frazier, WB Powell, S Dayanik
INFORMS Journal on Computing 21 (4), 599-613, 2009
3652009
Distance dependent Chinese restaurant processes.
DM Blei, PI Frazier
Journal of Machine Learning Research 12 (8), 2011
3362011
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
1772012
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
1542011
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
1512013
Bayesian optimization with gradients
J Wu, M Poloczek, AG Wilson, PI Frazier
arXiv preprint arXiv:1703.04389, 2017
1232017
Multi-information source optimization
M Poloczek, J Wang, PI Frazier
Proceedings of the 31st International Conference on Neural Information …, 2017
1212017
The knowledge-gradient algorithm for sequencing experiments in drug discovery
DM Negoescu, PI Frazier, WB Powell
INFORMS J. on Computing (to appear), 2010
1152010
The parallel knowledge gradient method for batch Bayesian optimization
J Wu, PI Frazier
arXiv preprint arXiv:1606.04414, 2016
1142016
Sequential hypothesis testing under stochastic deadlines
P Frazier, AJ Yu
Advances in neural information processing systems 20, 465-472, 2008
1112008
Parallel Bayesian global optimization of expensive functions
J Wang, SC Clark, E Liu, PI Frazier
Operations Research 68 (6), 2020
101*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, ...
AAAI Workshop: Computational Sustainability, 2015
962015
Twenty questions with noise: Bayes optimal policies for entropy loss
B Jedynak, PI Frazier, R Sznitman
Journal of Applied Probability, 2012
952012
Sequential sampling with economics of selection procedures
SE Chick, P Frazier
Management Science 58 (3), 550-569, 2012
932012
Bayesian optimization for materials design
PI Frazier, J Wang
Information Science for Materials Discovery and Design, 45-75, 2016
802016
Incentivizing exploration
P Frazier, D Kempe, J Kleinberg, R Kleinberg
Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014
752014
Bisection search with noisy responses
R Waeber, PI Frazier, SG Henderson
SIAM Journal on Control and Optimization 51 (3), 2261-2279, 2013
702013
Paradoxes in learning and the marginal value of information
PI Frazier, WB Powell
Decision Analysis 7 (4), 378-403, 2010
682010
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