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cs.LG2025
Hidden Convexity of Fair PCA and Fast Solver via Eigenvalue Optimization
Junhui Shen, Aaron J. Davis, Ding Lu +1
Principal Component Analysis (PCA) is a foundational technique in machine learning for dimensionality reduction of high-dimensional datasets. However, PCA could lead to biased outc…
cs.LG2022★ 4 cited
Scalable Spectral Clustering with Group Fairness Constraints
Ji Wang, Ding Lu, Ian Davidson +1
There are synergies of research interests and industrial efforts in modeling fairness and correcting algorithmic bias in machine learning. In this paper, we present a scalable algo…