Wenfu Zhong

Sparse PCA with Oracle Rate in High Dimensions

In this paper, we study the sparse principal component analysis (PCA) problem in high-dimensional settings. We propose a novel row-sparse principal subspace estimator, which estimates the subspace spanned by multiple eigenvectors based on the variance maximization problem with a nonconvex sparsity r…