2022
Fast and Efficient MMD-Based Fair PCA via Optimization over Stiefel Manifold
AAAI 2022technical
This paper defines fair principal component analysis (PCA) as minimizing the maximum mean discrepancy (MMD) between the dimensionality-reduced conditional distributions of different protected classes. The incorporation of MMD naturally leads to an exact and tractable mathematical formulation of fair…