Fairness

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Proposes a framework for performing fair PCA in memory limited, streaming setting. Sample complexity results and empirical discussions show the superiority of our approach compared …

Junghyun Lee

• Dec 10, 2023 • 1 min read

Fairness

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold

Proposes a new MMD-based definition of fairness for PCA, then formulate fair PCA as an optimization over the Stiefel manifold. Various theoretical and empirical discussions show …

Junghyun Lee

• Feb 22, 2022 • 1 min read

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Fairness

Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint

Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold