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US Patent 12026612 Optimization of parameter values for machine-learned models

Patent 12026612 was granted and assigned to Google on July, 2024 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Patent Applicant
Google
Google
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Current Assignee
Google
Google
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
120266120
Patent Inventor Names
Daniel Reuben Golovin0
Benjamin Solnik0
Subhodeep Moitra0
David W. Sculley, II0
Gregory Peter Kochanski0
Date of Patent
July 2, 2024
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Patent Application Number
166153030
Date Filed
June 2, 2017
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Patent Citations
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US Patent 10257275 Tuning software execution environments using Bayesian models
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US Patent 10877654 Graphical user interfaces for optimizations
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Patent Primary Examiner
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Irete F Ehichioya
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CPC Code
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G06N 7/005
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G06N 5/003
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G06N 20/00
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G06F 11/3006
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G06F 11/3409
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Patent abstract

A computer-implemented method can include receiving, by one or more computing devices, one or more prior evaluations of performance of a machine learning model, the one or more prior evaluations being respectively associated with one or more prior variants of the machine-learning model, the one or more prior variants of the machine-learning model each having been configured using a different set of adjustable parameter values. The method can include utilizing, by the one or more computing devices, an optimization algorithm to generate a suggested variant of the machine-learning model based at least in part on the one or more prior evaluations of performance and the associated set of adjustable parameter values, the suggested variant of the machine-learning model being defined by a suggested set of adjustable parameter values.

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