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:
Apr. 29, 2025

Filed:

Jun. 11, 2021
Applicants:

International Business Machines Corporation, Armonk, NY (US);

Regents of the University of Michigan, Ann Arbor, MI (US);

Inventors:

Mikhail Yurochkin, Cambridge, MA (US);

Debarghya Mukherjee, Kolkata, IN;

Moulinath Banerjee, Portage, MI (US);

Yuekai Sun, Ann Arbor, MI (US);

Sohini Upadhyay, Cambridge, MA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 18/22 (2022.12); G06F 18/20 (2022.12); G06F 18/214 (2022.12); G06F 18/40 (2022.12); G06N 3/08 (2022.12);
U.S. Cl.
CPC ...
G06F 18/22 (2022.12); G06F 18/214 (2022.12); G06F 18/285 (2022.12); G06F 18/40 (2022.12); G06N 3/08 (2012.12);
Abstract

The present invention provides techniques for learning Mahalanobis distance similarity metrics from data for individually fair machine learning models. In one aspect, a method for learning a fair Mahalanobis distance similarity metric includes: obtaining data with similarity annotations; selecting, based on the data obtained, a model for learning a Mahalanobis covariance matrix Σ; and learning the Mahalanobis covariance matrix Σ from the data using the model selected, wherein the Mahalanobis covariance matrix Σ fully defines the fair Mahalanobis distance similarity metric.


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