238 citations · 758 across the 17 of their papers we have counts for
3 papers · 1 filter
Unbounded Bayesian Optimization via Regularization
Bobak Shahriari, Alexandre Bouchard-Côté, Nando de Freitas
Bayesian optimization has recently emerged as a popular and efficient tool for global optimization and hyperparameter tuning. Currently, the established Bayesian optimization pract…
An Entropy Search Portfolio for Bayesian Optimization
Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman +2
Bayesian optimization is a sample-efficient method for black-box global optimization. How- ever, the performance of a Bayesian optimization method very much depends on its explorat…
Exploiting correlation and budget constraints in Bayesian multi-armed bandit optimization
Matthew W. Hoffman, Bobak Shahriari, Nando de Freitas
We address the problem of finding the maximizer of a nonlinear smooth function, that can only be evaluated point-wise, subject to constraints on the number of permitted function ev…