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

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., recomm...

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Published inProceedings of the IEEE Vol. 104; no. 1; pp. 148 - 175
Main Authors Shahriari, Bobak, Swersky, Kevin, Wang, Ziyu, Adams, Ryan P., de Freitas, Nando
Format Journal Article
LanguageEnglish
Published New York IEEE 01.01.2016
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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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.
AbstractList 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.
Author Shahriari, Bobak
de Freitas, Nando
Wang, Ziyu
Adams, Ryan P.
Swersky, Kevin
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  surname: Adams
  fullname: Adams, Ryan P.
  email: rpa@seas.harvard.edu
  organization: Harvard Univ., Cambridge, MA, USA
– sequence: 5
  givenname: Nando
  surname: de Freitas
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  email: nandodefreitas@google.com
  organization: Oxford Univ., Oxford, UK
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Snippet Big Data applications are typically associated with systems involving large numbers of users, massive complex software systems, and large-scale heterogeneous...
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SubjectTerms Automation
Bayes methods
Bayesian analysis
Big data
Computer programs
Decision making
Design analysis
Design engineering
Design of experiments
Genomes
genomic medicine
Human
Linear programming
Optimization
response surface methodology
Software
Software upgrading
Statistical analysis
statistical learning
Title Taking the Human Out of the Loop: A Review of Bayesian Optimization
URI https://ieeexplore.ieee.org/document/7352306
https://www.proquest.com/docview/1751303044
https://www.proquest.com/docview/1793240011
Volume 104
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