International Business Machines Corporation
Enhancing fairness in transfer learning for machine learning models with missing protected attributes in source or target domains

Abstract:

A method of utilizing a computing device to correct source data used in machine learning includes receiving, by the computing device, first data. The computing device corrects the source data via an application of a covariate shift to the source data based upon the first data where the covariate shift re-weighs the source data.