Invention Grant
- Patent Title: Systems and methods for multi-task Bayesian optimization
-
Application No.: US14291255Application Date: 2014-05-30
-
Publication No.: US09858529B2Publication Date: 2018-01-02
- Inventor: Ryan P. Adams , Roland Jasper Snoek , Kevin Swersky
- Applicant: President and Fellows of Harvard College , Governing Council of the Univ. of Toronto
- Applicant Address: US MA Cambridge CA Toronto
- Assignee: President and Fellows of Harvard College,The Governing Council of the Univ. of Toronto
- Current Assignee: President and Fellows of Harvard College,The Governing Council of the Univ. of Toronto
- Current Assignee Address: US MA Cambridge CA Toronto
- Main IPC: G06N5/04
- IPC: G06N5/04 ; G06N7/00 ; G06N99/00 ; G06F17/11

Abstract:
Techniques for use in connection with performing optimization using a plurality of objective functions associated with a respective plurality of tasks. The techniques include using at least one computer hardware processor to perform: identifying, based at least in part on a joint probabilistic model of the plurality of objective functions, a first point at which to evaluate an objective function in the plurality of objective functions; selecting, based at least in part on the joint probabilistic model, a first objective function in the plurality of objective functions to evaluate at the identified first point; evaluating the first objective function at the identified first point; and updating the joint probabilistic model based on results of the evaluation to obtain an updated joint probabilistic model.
Public/Granted literature
- US20160328655A1 SYSTEMS AND METHODS FOR MULTI-TASK BAYESIAN OPTIMIZATION Public/Granted day:2016-11-10
Information query