Peter I Frazier

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Warrren B PowellPrinceton UniversityVerified email at princeton.edu
Matthias PoloczekPrincipal Scientist at AmazonVerified email at cornell.edu
Shane HendersonProfessor of Operations Research and Information Engineering, Cornell UniversityVerified email at cornell.edu
Savas DayanikBilkent University, Departments of Industrial Engineering and MathematicsVerified email at bilkent.edu.tr
Jian WuVice President, Research at Two Sigma InvestmentsVerified email at twosigma.com
Jialei WangCornell UniversityVerified email at cornell.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityVerified email at columbia.edu
Stephen E. ChickProfessor of Technology and Operations Management, INSEADVerified email at insead.edu
Raul AstudilloPh.D. Student, Cornell UniversityVerified email at cornell.edu
Scott ClarkSigOptVerified email at sigopt.com
Bruno JedynakPortland State University, Dept. of Mathematics and StatisticsVerified email at pdx.edu
Ilya O. RyzhovRobert H. Smith School of Business, University of MarylandVerified email at umd.edu
Raphael SznitmanARTORG Center, University of BernVerified email at artorg.unibe.ch
Andrew Gordon WilsonNew York UniversityVerified email at cims.nyu.edu
David ShmoysProfessor of Operations Research & Information Engineering and of Computer ScienceVerified email at cs.cornell.edu
David KempeProfessor of Computer Science, University of Southern CaliforniaVerified email at usc.edu
Krishnamurthy IyerIndustrial and Systems Engineering, University of MinnesotaVerified email at umn.edu
Zhong WangLawrence Berkeley National LabVerified email at lbl.gov
Samuel GershmanProfessor, Harvard UniversityVerified email at fas.harvard.edu
Angela J. YuAssociate Professor of Cognitive Science, University of California San DiegoVerified email at ucsd.edu

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	742*	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	422	2008
The knowledge gradient policy for correlated normal beliefs P Frazier, WB Powell, S Dayanik INFORMS Journal on Computing 21 (4), 599-613, 2009	415	2009
Distance dependent Chinese restaurant processes. DM Blei, PI Frazier Journal of Machine Learning Research 12 (8), 2011	366	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	185	2012
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	184	2011
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	161	2013
Bayesian optimization with gradients J Wu, M Poloczek, AG Wilson, PI Frazier arXiv preprint arXiv:1703.04389, 2017	158	2017
Multi-information source optimization M Poloczek, J Wang, PI Frazier Proceedings of the 31st International Conference on Neural Information …, 2017	156	2017
The parallel knowledge gradient method for batch Bayesian optimization J Wu, P Frazier Advances in Neural Information Processing Systems 29, 3126-3134, 2016	144	2016
The knowledge-gradient algorithm for sequencing experiments in drug discovery DM Negoescu, PI Frazier, WB Powell INFORMS J. on Computing (to appear), 2010	134	2010
Bayesian optimization for materials design PI Frazier, J Wang Information science for materials discovery and design, 45-75, 2016	127	2016
Parallel Bayesian global optimization of expensive functions J Wang, SC Clark, E Liu, PI Frazier Operations Research 68 (6), 2020	121*	2020
Sequential hypothesis testing under stochastic deadlines P Frazier, AJ Yu Advances in neural information processing systems 20, 465-472, 2008	116	2008
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	113	2015
Twenty questions with noise: Bayes optimal policies for entropy loss B Jedynak, PI Frazier, R Sznitman Journal of Applied Probability, 2012	100	2012
Sequential sampling with economics of selection procedures SE Chick, P Frazier Management Science 58 (3), 550-569, 2012	97	2012
Incentivizing exploration P Frazier, D Kempe, J Kleinberg, R Kleinberg Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014	91	2014
Bisection search with noisy responses R Waeber, PI Frazier, SG Henderson SIAM Journal on Control and Optimization 51 (3), 2261-2279, 2013	75	2013
A Fully Sequential Elimination Procedure for Indifference-Zone Ranking and Selection with Tight Bounds on Probability of Correct Selection PI Frazier Operations Research, 2014	71	2014

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