The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 02, 2026

Filed:

Aug. 15, 2023
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Cheng Zhang, Cambridge, GB;

Wenbo Gong, Cambridge, GB;

Richard Eric Turner, Cambridge, GB;

Sebastian Tschiatschek, Cambridge, GB;

Josè Miguel Hernández Lobato, Cambridge, GB;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 7/01 (2023.01);
U.S. Cl.
CPC ...
G06N 20/00 (2019.01); G06N 7/01 (2023.01);
Abstract

A model that includes a generative network mapping a latent vector to a feature vector, wherein weights in the generative network are modelled as probabilistic distributions, is trained on observed data points with incomplete observations of the feature vector to learn values of the weights. From a plurality of potential next features to observe, a target feature is selected that maximizes a measure of expected reduction in uncertainty in the distribution of the weights given the observed data points so far. A target data point comprising at least the target feature is then requested, and the generative network is further trained based on the target data point received in response to the request.


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