Taking the Human Out of the Loop: A Review of Bayesian Optimization

DSpace/Manakin Repository

Taking the Human Out of the Loop: A Review of Bayesian Optimization

Citable link to this page

 

 
Title: Taking the Human Out of the Loop: A Review of Bayesian Optimization
Author: Shahriari, Bobak; Swersky, Kevin; Wang, Ziyu; Adams, Ryan Prescott; de Freitas, Nando

Note: Order does not necessarily reflect citation order of authors.

Citation: Shahriari, Bobak, Kevin Swersky, Ziyu Wang, Ryan P. Adams, and Nando de Freitas. 2016. “Taking the Human Out of the Loop: A Review of Bayesian Optimization.” Proc. IEEE 104 (1) (January): 148–175. doi:10.1109/jproc.2015.2494218.
Full Text & Related Files:
Abstract: Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous computing and storage architectures. The construction of such systems involves many distributed design choices. The end products (e.g., recommendation systems, medical analysis tools, real-time game engines, speech recognizers) thus involve many tunable configuration parameters. These parameters are often specified and hard-coded into the software by various developers or teams. If optimized jointly, these parameters can result in significant improvements. Bayesian optimization is a powerful tool for the joint optimization of design choices that is gaining great popularity in recent years. It promises greater automation so as to increase both product quality and human productivity. This review paper introduces Bayesian optimization, highlights some of its methodological aspects, and showcases a wide range of applications.
Published Version: doi:10.1109/JPROC.2015.2494218
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#OAP
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:27769882
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters