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cs.DS2025
Sample and Expand: Discovering Low-rank Submatrices With Quality Guarantees
Martino Ciaperoni, Aristides Gionis, Heikki Mannila
The problem of approximating a matrix by a low-rank one has been extensively studied. This problem assumes, however, that the whole matrix has a low-rank structure. This assumption…
cs.LG2025
Fair PCA, One Component at a Time
Antonis Matakos, Martino Ciaperoni, Heikki Mannila
The Min-Max Fair PCA problem seeks a low-rank representation of multi-group data such that the the approximation error is as balanced as possible across groups. Existing approaches…