Članki z zahtevami za javni dostop - Peter I FrazierVeč o tem
Ni na voljo nikjer: 1
Tuning materials-binding peptide sequences toward gold-and silver-binding selectivity with bayesian optimization
ZE Hughes, MA Nguyen, J Wang, Y Liu, MT Swihart, M Poloczek, ...
ACS nano 15 (11), 18260-18269, 2021
Zahteve: US Department of Defense
Na voljo nekje: 44
A tutorial on Bayesian optimization
PI Frazier
arXiv preprint arXiv:1807.02811, 2018
Zahteve: US National Science Foundation, US Department of Defense
Bayesian optimization for materials design
PI Frazier, J Wang
Information science for materials discovery and design, 45-75, 2016
Zahteve: US National Science Foundation
Bayesian optimization with gradients
J Wu, M Poloczek, AG Wilson, P Frazier
Advances in neural information processing systems 30, 2017
Zahteve: US National Science Foundation, US Department of Defense
The parallel knowledge gradient method for batch Bayesian optimization
J Wu, P Frazier
Advances in neural information processing systems 29, 2016
Zahteve: US National Science Foundation
Multi-information source optimization
M Poloczek, J Wang, P Frazier
Advances in neural information processing systems 30, 2017
Zahteve: US National Science Foundation, US Department of Defense
Parallel Bayesian global optimization of expensive functions
J Wang, SC Clark, E Liu, PI Frazier
Operations Research 68 (6), 2020
Zahteve: US National Science Foundation, US Department of Defense
Practical multi-fidelity Bayesian optimization for hyperparameter tuning
J Wu, S Toscano-Palmerin, PI Frazier, AG Wilson
Uncertainty in Artificial Intelligence, 788-798, 2020
Zahteve: US National Science Foundation, US Department of Defense
Incentivizing exploration
P Frazier, D Kempe, J Kleinberg, R Kleinberg
Proceedings of the fifteenth ACM conference on Economics and computation, 5-22, 2014
Zahteve: US National Institutes of Health
Bayesian optimization of composite functions
R Astudillo, P Frazier
International Conference on Machine Learning, 354-363, 2019
Zahteve: US National Science Foundation, US Department of Defense
Twenty questions with noise: Bayes optimal policies for entropy loss
B Jedynak, PI Frazier, R Sznitman
Journal of Applied Probability, 2012
Zahteve: US National Institutes of Health
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
Zahteve: US National Science Foundation, US Department of Defense
Discovering de novo peptide substrates for enzymes using machine learning
L Tallorin, JL Wang, WE Kim, S Sahu, NM Kosa, P Yang, M Thompson, ...
Nature communications 9 (1), 5253, 2018
Zahteve: US National Science Foundation, US Department of Defense, US National …
Advances in Bayesian optimization with applications in aerospace engineering
R Lam, M Poloczek, P Frazier, KE Willcox
2018 AIAA Non-Deterministic Approaches Conference, 1656, 2018
Zahteve: US Department of Defense
Bayesian optimization with expensive integrands
S Toscano-Palmerin, PI Frazier
SIAM Journal on Optimization 32 (2), 417-444, 2022
Zahteve: US National Science Foundation, US Department of Defense
Bayesian optimization of risk measures
S Cakmak, R Astudillo Marban, P Frazier, E Zhou
Advances in Neural Information Processing Systems 33, 20130-20141, 2020
Zahteve: US National Science Foundation, US Department of Defense
Modeling for COVID-19 college reopening decisions: Cornell, a case study
PI Frazier, JM Cashore, N Duan, SG Henderson, A Janmohamed, B Liu, ...
Proceedings of the National Academy of Sciences 119 (2), e2112532119, 2022
Zahteve: US National Science Foundation, US Department of Defense
Bayesian optimization via simulation with pairwise sampling and correlated prior beliefs
J Xie, PI Frazier, SE Chick
Operations Research 64 (2), 542-559, 2016
Zahteve: US National Science Foundation
Multi-attribute Bayesian optimization with interactive preference learning
R Astudillo, P Frazier
International Conference on Artificial Intelligence and Statistics, 4496-4507, 2020
Zahteve: US National Science Foundation, US Department of Defense
Bayesian optimization of function networks
R Astudillo, P Frazier
Advances in neural information processing systems 34, 14463-14475, 2021
Zahteve: US Department of Defense
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