no code implementations • 12 Mar 2019 • Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier, Andrew Gordon Wilson
Nonetheless, for hyperparameter tuning in deep neural networks, the time required to evaluate the validation error for even a few hyperparameter settings remains a bottleneck.
1 code implementation • 23 Mar 2018 • Saul Toscano-Palmerin, Peter I. Frazier
We propose a Bayesian optimization algorithm for objective functions that are sums or integrals of expensive-to-evaluate functions, allowing noisy evaluations.
no code implementations • 7 Feb 2016 • Saul Toscano-Palmerin, Peter I. Frazier
We consider derivative-free black-box global optimization of expensive noisy functions, when most of the randomness in the objective is produced by a few influential scalar random inputs.