56 citations · 56 across the 1 of their papers we have counts for
3 papers
cs.LG2019★ 56 cited
Practical Multi-fidelity Bayesian Optimization for Hyperparameter Tuning
Jian Wu, Saul Toscano-Palmerin, Peter I. Frazier +1
Bayesian optimization is popular for optimizing time-consuming black-box objectives. Nonetheless, for hyperparameter tuning in deep neural networks, the time required to evaluate t…
cs.LG2018
Bayesian Optimization with Expensive Integrands
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. These objective func…
cs.LG2016
Stratified Bayesian Optimization
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…