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

• Published in: Proceedings 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
• Language: English
• Published: New York IEEE 01.01.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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; statistical learning; response surface methodology; Decision making; optimization; design of experiments

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...