Invention Grant
- Patent Title: Systems and methods for an accelerated tuning of hyperparameters of a model using a machine learning-based tuning service
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Application No.: US16511320Application Date: 2019-07-15
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Publication No.: US11704567B2Publication Date: 2023-07-18
- Inventor: Michael McCourt , Ben Hsu , Patrick Hayes , Scott Clark
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Hanley, Flight and Zimmerman, LLC
- Main IPC: G06N3/082
- IPC: G06N3/082 ; G06N20/00 ; G06N20/20

Abstract:
A system and method for accelerated tuning of hyperparameters includes receiving a multi-task tuning work request for tuning hyperparameters of a model, wherein the multi-task tuning work request includes: a full tuning task for tuning hyperparameters, wherein the full tuning task includes a first set of tuning parameters governing a first tuning operation; a partial tuning task for tuning the hyperparameters of the model, wherein the partial tuning task includes a second distinct set of tuning parameters governing a second tuning operation; executing the first tuning operation and the second tuning operation; generating a first suggestion set and a second suggestion set of one or more proposed values for the hyperparameters based on the execution of the full tuning task and the partial tuning task; and setting the partial tuning task as a proxy for the full tuning task thereby accelerating a tuning of the hyperparameters of the model.
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