| A tutorial on Bayesian optimization PI Frazier arXiv preprint arXiv:1807.02811, 2018 | 4347* | 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 | 687 | 2008 |
| The knowledge gradient policy for correlated normal beliefs P Frazier, WB Powell, S Dayanik INFORMS Journal on Computing 21 (4), 599-613, 2009 | 614 | 2009 |
| Distance dependent Chinese restaurant processes. DM Blei, PI Frazier Journal of Machine Learning Research 12 (8), 2011 | 454 | 2011 |
| Bayesian optimization for materials design PI Frazier, J Wang Information science for materials discovery and design, 45-75, 2015 | 390 | 2015 |
| The parallel knowledge gradient method for batch Bayesian optimization J Wu, P Frazier Advances in neural information processing systems 29, 2016 | 380 | 2016 |
| Bayesian optimization with gradients J Wu, M Poloczek, AG Wilson, P Frazier Advances in neural information processing systems 30, 2017 | 355 | 2017 |
| Multi-information source optimization M Poloczek, J Wang, P Frazier Advances in neural information processing systems 30, 2017 | 314 | 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 | 293 | 2011 |
| Parallel Bayesian global optimization of expensive functions J Wang, SC Clark, E Liu, PI Frazier Operations Research 68 (6), 2020 | 267 | 2020 |
| 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 | 262 | 2012 |
| Practical multi-fidelity Bayesian optimization for hyperparameter tuning J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson Uncertainty in Artificial Intelligence, 788-798, 2020 | 247 | 2020 |
| The knowledge-gradient algorithm for sequencing experiments in drug discovery DM Negoescu, PI Frazier, WB Powell INFORMS J. on Computing (to appear), 2010 | 220 | 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 | 207 | 2013 |
| 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, 1-5, 2015 | 177 | 2015 |
| Incentivizing exploration P Frazier, D Kempe, J Kleinberg, R Kleinberg Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014 | 156 | 2014 |
| Sequential hypothesis testing under stochastic deadlines P Frazier, AJ Yu Advances in neural information processing systems 20, 465-472, 2008 | 156 | 2008 |
| Bayesian optimization of composite functions R Astudillo, P Frazier International Conference on Machine Learning, 354-363, 2019 | 141 | 2019 |
| 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 | 127 | 2018 |
| Sequential sampling with economics of selection procedures SE Chick, P Frazier Management Science 58 (3), 550-569, 2012 | 125 | 2012 |
Warrren B PowellPrinceton UniversityVerified email at princeton.edu
