Description: Bayesian Optimization by Roman Garnett Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description 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. Publisher Description 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 practical and effective optimization policies. Following this foundational material, the book provides an overview of theoretical convergence results, a survey of notable extensions, a comprehensive history of Bayesian optimization, and an extensive annotated bibliography of applications. Author Biography Roman Garnett is Associate Professor at Washington University in St. Louis. He has been a leader in the Bayesian optimization community since 2011, when he co-founded a long-running workshop on the subject at the NeurIPS conference. His research focus is developing Bayesian methods – including Bayesian optimization – for automating scientific discovery, an effort supported by an NSF CAREER award. Details ISBN 110842578X ISBN-13 9781108425780 Title Bayesian Optimization Author Roman Garnett Format Hardcover Year 2023 Pages 358 Publisher Cambridge University Press GE_Item_ID:141530207; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 70.52 USD
Location: Fairfield, Ohio
End Time: 2024-11-18T03:08:31.000Z
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ISBN-13: 9781108425780
Book Title: Bayesian Optimization
Number of Pages: 150 Pages
Publication Name: Bayesian Optimization
Language: English
Publisher: Cambridge University Press
Publication Year: 2023
Item Height: 0.9 in
Subject: General, Computer Vision & Pattern Recognition
Type: Textbook
Author: Roman Garnett
Subject Area: Mathematics, Computers
Item Length: 10.3 in
Item Width: 8.2 in
Format: Hardcover