#null-space-projection News & Analysis

Extending Fair Null-Space Projections for Continuous Attributes to Kernel Methods

Researchers extend null-space projection techniques for fairness in machine learning to kernel methods, enabling fair regression with continuous protected attributes. The method transforms kernel matrices directly and demonstrates competitive performance with Support Vector Regression across multiple datasets, advancing the limited field of continuous fairness in ML systems.