- Patent Title: Combinatorial Bayesian optimization using a graph cartesian product
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Application No.: US16945625Application Date: 2020-07-31
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Publication No.: US11842279B2Publication Date: 2023-12-12
- Inventor: Changyong Oh , Efstratios Gavves , Jakub Mikolaj Tomczak , Max Welling
- Applicant: QUALCOMM Technologies, Inc.
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Technologies, Inc.
- Current Assignee: QUALCOMM Technologies, Inc.
- Current Assignee Address: US CA San Diego
- Agency: Patterson & Sheridan LLP
- Priority: GR 190100328 2019.07.31
- Main IPC: G06N3/082
- IPC: G06N3/082 ; G06F18/20 ; G06F18/10 ; G06F18/21 ; G06N7/01

Abstract:
Certain aspects provide a method for determining a solution to a combinatorial optimization problem, including: determining a plurality of subgraphs, wherein each subgraph of the plurality of subgraphs corresponds to a combinatorial variable of the plurality of combinatorial variables; determining a combinatorial graph based on the plurality of subgraphs; determining evaluation data comprising a set of vertices in the combinatorial graph and evaluations on the set of vertices; fitting a Gaussian process to the evaluation data; determining an acquisition function for vertices in the combinatorial graph using a predictive mean and a predictive variance from the fitted Gaussian process; optimizing the acquisition function on the combinatorial graph to determine a next vertex to evaluate; evaluating the next vertex; updating the evaluation data with a tuple of the next vertex and its evaluation; and determining a solution to the problem, wherein the solution comprises a vertex of the combinatorial graph.
Public/Granted literature
- US20210034928A1 COMBINATORIAL BAYESIAN OPTIMIZATION USING A GRAPH CARTESIAN PRODUCT Public/Granted day:2021-02-04
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