bookCambridge University Press eBooksJan 25, 2023Closed access

Bayesian Optimization

Washington University in St. Louis

Indexed incrossref

Abstract

Bayesian optimization is a methodology for optimizing expensive objective functions that has proven success in the sciences, engineering, and beyond. This timely text provides a self-contained and comprehensive introduction to the subject, starting from scratch and carefully developing all the key ideas along the way. This bottom-up approach illuminates unifying themes in the design of Bayesian optimization algorithms and builds a solid theoretical foundation for approaching novel situations. The core of the book is divided into three main parts, covering theoretical and practical aspects of Gaussian process modeling, the Bayesian approach to sequential decision making, and the realization and computation of…

Citation impact

543
total citations
FWCI
133.82
Percentile
100%
References
0
Citations per year

Authors

1

Topics & keywords

Keywords
  • Bayesian optimization
  • Computer science
  • Bayesian probability
  • Key (lock)
  • Gaussian process
  • Realization (probability)
  • Process (computing)
  • Artificial intelligence
UN Sustainable Development Goals
  • Peace, Justice and strong institutions
No related works found for this paper.