Bayesian Optimization
Book information
Description
Preface Notation Introduction Gaussian Processes Modeling with Gaussian processes Model assessment, selection, and averaging Decision Theory for Optimization Utility Functions for Optimization Common Bayesian Optimization Policies Computing Policies with Gaussian Processes Implementation Theoretical analysis Extensions and related settings A Brief History of Bayesian Optimization The Gaussian distribution Methods for approximate Bayesian inference Gradients Annotated bibliography of applications Bibliography Index
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