Bayesian Optimization

Bayesian optimization is a methodology that has proven success in the sciences, engineering, and beyond for optimizing expensive objective functions. This self-contained text targets graduate students and researchers in machine learning and statistics - and practitioners from other fields - wishing to harness the power of Bayesian optimization.

• | : Roman Garnett (Washington University in St Louis)
• | Publisher: Cambridge University Press
• | Publication Date: Feb 09, 2023
• | Country of Publication: United Kingdom
• | Number of Pages: 358 pages
• | Language: Unknown
• | Binding: Hardback
• | ISBN-10: 110842578X
• | ISBN-13: 9781108425780