2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Machine Learning-Assisted High-Dimensional Matrix Estimation
Wan Tian, Hui Yang, Zhouhui Lian +2
Efficient estimation of high-dimensional matrices-including covariance and precision matrices-is a cornerstone of modern multivariate statistics. Most existing studies have focused…
math.ST2023★ 2 cited
Asymptotic limits of spiked eigenvalues and eigenvectors of signal-plus-noise matrices with weak signals and heteroskedastic noise
Xiaoyu Liu, Yiming Liu, Guangming Pan +2
This paper is to study a signal-plus-noise model in high dimensional settings when the dimension and the sample size are comparable. Specifically, we assume that the noise has a ge…