A Tutorial on Bayesian Optimization
Published in arXiv (Cornell University) • Jul 8, 2018
NobleIDNI3P47W56R23S71
Authors:
Peter I. Frazier
Abstract
Bayesian optimization is an approach to optimizing objective functions that take a long time (minutes or hours) to evaluate. It is best-suited for optimization over continuous domains of less than 20 dimensions, and tolerates stochastic noise in function evaluations. It builds a surrogate for the ob...
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