9 citations · 9 across the 2 of their papers we have counts for
2 papers
math.OC2022
Stochastic Gauss-Newton Algorithms for Online PCA
Siyun Zhou, Xin Liu, Liwei Xu
In this paper, we propose a stochastic Gauss-Newton (SGN) algorithm to study the online principal component analysis (OPCA) problem, which is formulated by using the symmetric low-…
math.OC2021★ 9 cited
A Communication-Efficient and Privacy-Aware Distributed Algorithm for Sparse PCA
Lei Wang, Xin Liu, Yin Zhang
Sparse principal component analysis (PCA) improves interpretability of the classic PCA by introducing sparsity into the dimension-reduction process. Optimization models for sparse…