Peter I Frazier

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Warrren B PowellPrinceton UniversityVerified email at princeton.edu
Raul AstudilloPostdoctoral Scholar, California Institute of TechnologyVerified email at caltech.edu
Jian WuCornell UniversityVerified email at cornell.edu
Jialei WangCornell UniversityVerified email at cornell.edu
Matthias PoloczekPrincipal Scientist at AmazonVerified email at cornell.edu
Savas DayanikBilkent University, Departments of Industrial Engineering and MathematicsVerified email at bilkent.edu.tr
Shane HendersonProfessor of Operations Research and Information Engineering, Cornell UniversityVerified email at cornell.edu
Jiayue WanCornell UniversityVerified email at cornell.edu
Stephen E. ChickProfessor of Technology and Operations Management, INSEADVerified email at insead.edu
Scott ClarkSigOptVerified email at sigopt.com
J. Massey CashoreVerified email at cornell.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Saul Toscano PalmerinQuantitative Researcher at Citadel SecuritiesVerified email at citadelsecurities.com
David ShmoysProfessor of Operations Research & Information Engineering and of Computer ScienceVerified email at cs.cornell.edu
Bruno JedynakPortland State University, Dept. of Mathematics and StatisticsVerified email at pdx.edu
Yujia ZhangGraduate student, Cornell UniversityVerified email at cornell.edu
Ilya O. RyzhovRobert H. Smith School of Business, University of MarylandVerified email at umd.edu
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
Raphael SznitmanARTORG Center, University of BernVerified email at unibe.ch
Eytan BakshyResearch Director, MetaVerified email at fb.com

Peter I Frazier

Associate Professor of Operations Research and Information Engineering, Cornell University

Verified email at cornell.edu - Homepage

Bayesian optimization black-box optimization operations research machine learning sharing economy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A tutorial on Bayesian optimization PI Frazier arXiv preprint arXiv:1807.02811, 2018	3177*	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	629	2008
The knowledge gradient policy for correlated normal beliefs P Frazier, WB Powell, S Dayanik INFORMS Journal on Computing 21 (4), 599-613, 2009	569	2009
Distance dependent Chinese restaurant processes. DM Blei, PI Frazier Journal of Machine Learning Research 12 (8), 2011	440	2011
Bayesian optimization for materials design PI Frazier, J Wang Information science for materials discovery and design, 45-75, 2016	309	2016
Bayesian optimization with gradients J Wu, M Poloczek, AG Wilson, P Frazier Advances in neural information processing systems 30, 2017	291	2017
The parallel knowledge gradient method for batch Bayesian optimization J Wu, P Frazier Advances in neural information processing systems 29, 2016	289	2016
Multi-information source optimization M Poloczek, J Wang, P Frazier Advances in neural information processing systems 30, 2017	282	2017
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	270	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	248	2012
Parallel Bayesian global optimization of expensive functions J Wang, SC Clark, E Liu, PI Frazier Operations Research 68 (6), 2020	231*	2020
The knowledge-gradient algorithm for sequencing experiments in drug discovery DM Negoescu, PI Frazier, WB Powell INFORMS J. on Computing (to appear), 2010	204	2010
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	197	2013
Practical multi-fidelity Bayesian optimization for hyperparameter tuning J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson Uncertainty in Artificial Intelligence, 788-798, 2020	190	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	165	2015
Incentivizing exploration P Frazier, D Kempe, J Kleinberg, R Kleinberg Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014	140	2014
Sequential hypothesis testing under stochastic deadlines P Frazier, AJ Yu Advances in neural information processing systems 20, 465-472, 2008	140	2008
Sequential sampling with economics of selection procedures SE Chick, P Frazier Management Science 58 (3), 550-569, 2012	117	2012
Bayesian optimization of composite functions R Astudillo, P Frazier International Conference on Machine Learning, 354-363, 2019	116	2019
Twenty questions with noise: Bayes optimal policies for entropy loss B Jedynak, PI Frazier, R Sznitman Journal of Applied Probability, 2012	114	2012

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