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1. (WO2018222204) SYSTEMS AND METHODS FOR BLACK-BOX OPTIMIZATION

Pub. No.:    WO/2018/222204    International Application No.:    PCT/US2017/035637
Publication Date: Fri Dec 07 00:59:59 CET 2018 International Filing Date: Sat Jun 03 01:59:59 CEST 2017
IPC: G06N 3/08
G06N 5/00
G06N 99/00
G06N 7/00
Applicants: GOOGLE LLC
Inventors: GOLOVIN, Daniel Reuben
SOLNIK, Benjamin
MOITRA, Subhodeep
SCULLEY, II, David W.
KOCHANSKI, Gregory Peter
Title: SYSTEMS AND METHODS FOR BLACK-BOX OPTIMIZATION
Abstract:
The present disclosure provides computing systems and associated methods for optimizing one or more adjustable parameters (e.g. operating parameters) of a system. In particular, the present disclosure provides a parameter optimization system that can perform one or more black-box optimization techniques to iteratively suggest new sets of parameter values for evaluation. The iterative suggestion and evaluation process can serve to optimize or otherwise improve the overall performance of the system, as evaluated by an objective function that evaluates one or more metrics. The present disclosure also provides a novel black-box optimization technique known as "Gradientless Descent" that is more clever and faster than random search yet retains most of random search's favorable qualities.