390 citations · 1.5k across the 27 of their papers we have counts for
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stat.ML2023
Fair principal component analysis (PCA): minorization-maximization algorithms for Fair PCA, Fair Robust PCA and Fair Sparse PCA
Prabhu Babu, Petre Stoica
In this paper we propose a new iterative algorithm to solve the fair PCA (FPCA) problem. We start with the max-min fair PCA formulation originally proposed in [1] and derive a simp…
stat.ML2016★ 50 cited
Orthogonal Sparse PCA and Covariance Estimation via Procrustes Reformulation
Konstantinos Benidis, Ying Sun, Prabhu Babu +1
The problem of estimating sparse eigenvectors of a symmetric matrix attracts a lot of attention in many applications, especially those with high dimensional data set. While classic…
stat.ML2014★ 61 cited
Sparse Generalized Eigenvalue Problem via Smooth Optimization
Junxiao Song, Prabhu Babu, Daniel P. Palomar
In this paper, we consider an -norm penalized formulation of the generalized eigenvalue problem (GEP), aimed at extracting the leading sparse generalized eigenvector of a…