Invention Grant
- Patent Title: Systems and methods for Bayesian optimization using integrated acquisition functions
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Application No.: US14291212Application Date: 2014-05-30
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Publication No.: US09864953B2Publication Date: 2018-01-09
- Inventor: Ryan P. Adams , Roland Jasper Snoek , Hugo Larochelle
- Applicant: Universite de Sherbrooke , President and Fellows of Harvard College , Governing Council of the Univ. of Toronto, The
- Applicant Address: US MA Cambridge CA Sherbrooke CA Toronto
- Assignee: President and Fellows of Harvard College,SOCPRA Sciences et Genie S.E.C.,Governing Council of the Univ. of Toronto, The
- Current Assignee: President and Fellows of Harvard College,SOCPRA Sciences et Genie S.E.C.,Governing Council of the Univ. of Toronto, The
- Current Assignee Address: US MA Cambridge CA Sherbrooke CA Toronto
- Agency: Wolf, Greenfield & Sacks, P.C.
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N7/00 ; G06N99/00 ; G06F17/11
Abstract:
Techniques for use in connection with performing optimization using an objective function. The techniques include using at least one computer hardware processor to perform: identifying, using an integrated acquisition utility function and a probabilistic model of the objective function, at least a first point at which to evaluate the objective function; evaluating the objective function at least at the identified first point; and updating the probabilistic model of the objective function using results of the evaluating to obtain an updated probabilistic model of the objective function.
Public/Granted literature
- US20160292129A1 SYSTEMS AND METHODS FOR BAYESIAN OPTIMIZATION USING INTEGRATED ACQUISITION FUNCTIONS Public/Granted day:2016-10-06
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