Singular vector and singular subspace distribution for the matrix denoising model

27 September 2018

Papers citing "Singular vector and singular subspace distribution for the matrix denoising model"

12 / 12 papers shown

Title
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 40 4 0 10 Mar 2023
Learning Low-Dimensional Nonlinear Structures from High-Dimensional Noisy Data: An Integral Operator Approach Xiucai Ding Rongkai Ma 44 9 0 28 Feb 2022
The limiting spectral distribution of large dimensional general information-plus-noise type matrices Huanchao Zhou Z. Bai Jiang Hu 35 6 0 28 Jan 2022
Spiked eigenvalues of high-dimensional sample autocovariance matrices: CLT and applications Daning Bi Xiao Han Adam Nie Yanrong Yang 11 0 0 10 Jan 2022
Theoretical Foundations of t-SNE for Visualizing High-Dimensional Clustered Data T. Tony Cai Rong Ma 24 108 0 16 May 2021
On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix T. Tony Cai Rungang Han Anru R. Zhang 42 15 0 28 Aug 2020
Tracy-Widom distribution for heterogeneous Gram matrices with applications in signal detection Xiucai Ding Fan Yang 18 15 0 10 Aug 2020
Linear spectral statistics of eigenvectors of anisotropic sample covariance matrices Fan Yang 11 9 0 03 May 2020
How to reduce dimension with PCA and random projections? Fan Yang Sifan Liu Yan Sun David P. Woodruff 27 28 0 01 May 2020
Rapid evaluation of the spectral signal detection threshold and Stieltjes transform W. Leeb 27 7 0 26 Apr 2019
Optimal spectral shrinkage and PCA with heteroscedastic noise Qiangqiang Wu Yanjie Liang 25 25 0 06 Nov 2018
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 39 48 0 01 Feb 2018