Peter I Frazier

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	总计	2018 年至今
引用	8529	6561
h 指数	39	34
i10 指数	80	68

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Warrren B PowellPrinceton University在 princeton.edu 的电子邮件经过验证
Raul AstudilloPostdoctoral Scholar, California Institute of Technology在 caltech.edu 的电子邮件经过验证
Jian WuTwo Sigma Investments在 twosigma.com 的电子邮件经过验证
Shane HendersonProfessor of Operations Research and Information Engineering, Cornell University在 cornell.edu 的电子邮件经过验证
Savas DayanikBilkent University, Departments of Industrial Engineering and Mathematics在 bilkent.edu.tr 的电子邮件经过验证
Jialei WangCornell University在 cornell.edu 的电子邮件经过验证
Matthias PoloczekPrincipal Scientist at Amazon在 cornell.edu 的电子邮件经过验证
Jiayue WanCornell University在 cornell.edu 的电子邮件经过验证
Stephen E. ChickProfessor of Technology and Operations Management, INSEAD在 insead.edu 的电子邮件经过验证
David BleiProfessor of Statistics and Computer Science, Columbia University在 columbia.edu 的电子邮件经过验证
Bruno JedynakPortland State University, Dept. of Mathematics and Statistics在 pdx.edu 的电子邮件经过验证
J. Massey Cashore在 cornell.edu 的电子邮件经过验证
Saul Toscano PalmerinQuantitative Researcher at Citadel Securities在 citadelsecurities.com 的电子邮件经过验证
David ShmoysProfessor of Operations Research & Information Engineering and of Computer Science在 cs.cornell.edu 的电子邮件经过验证
Scott ClarkSigOpt在 sigopt.com 的电子邮件经过验证
Ilya O. RyzhovRobert H. Smith School of Business, University of Maryland在 umd.edu 的电子邮件经过验证
Andrew Gordon WilsonNew York University在 cims.nyu.edu 的电子邮件经过验证
Yujia ZhangGraduate student, Cornell University在 cornell.edu 的电子邮件经过验证
Raphael SznitmanARTORG Center, University of Bern在 unibe.ch 的电子邮件经过验证
Xiangyu ZhangCornell University在 cornell.edu 的电子邮件经过验证

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Peter I Frazier

Associate Professor of Operations Research and Information Engineering, Cornell University

在 cornell.edu 的电子邮件经过验证 - 首页

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


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
A tutorial on Bayesian optimization PI Frazier arXiv preprint arXiv:1807.02811, 2018	2013*	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	540	2008
The knowledge gradient policy for correlated normal beliefs P Frazier, WB Powell, S Dayanik INFORMS Journal on Computing 21 (4), 599-613, 2009	516	2009
Distance dependent Chinese restaurant processes. DM Blei, PI Frazier Journal of Machine Learning Research 12 (8), 2011	412	2011
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	243	2011
The parallel knowledge gradient method for batch Bayesian optimization J Wu, P Frazier Advances in neural information processing systems 29, 2016	239	2016
Bayesian optimization with gradients J Wu, M Poloczek, AG Wilson, P Frazier Advances in neural information processing systems 30, 2017	236	2017
Multi-information source optimization M Poloczek, J Wang, P Frazier Advances in neural information processing systems 30, 2017	228	2017
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	225	2012
Bayesian optimization for materials design PI Frazier, J Wang Information science for materials discovery and design, 45-75, 2015	221	2015
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	189	2013
Parallel Bayesian global optimization of expensive functions J Wang, SC Clark, E Liu, PI Frazier Operations Research 68 (6), 2020	184*	2020
The knowledge-gradient algorithm for sequencing experiments in drug discovery DM Negoescu, PI Frazier, WB Powell INFORMS J. on Computing (to appear), 2010	172	2010
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	152	2015
Practical multi-fidelity bayesian optimization for hyperparameter tuning J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson Uncertainty in Artificial Intelligence, 788-798, 2020	138	2020
Sequential hypothesis testing under stochastic deadlines P Frazier, AJ Yu Advances in neural information processing systems 20, 465-472, 2008	133	2008
Incentivizing exploration P Frazier, D Kempe, J Kleinberg, R Kleinberg Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014	117	2014
Sequential sampling with economics of selection procedures SE Chick, P Frazier Management Science 58 (3), 550-569, 2012	109	2012
Twenty questions with noise: Bayes optimal policies for entropy loss B Jedynak, PI Frazier, R Sznitman Journal of Applied Probability, 2012	107	2012
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	95	2018

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