Reconstruction of a Low-rank Matrix in the Presence of Gaussian Noise

23 July 2010

Papers citing "Reconstruction of a Low-rank Matrix in the Presence of Gaussian Noise"

12 / 12 papers shown

Title
Empirical Bayes PCA in high dimensions Xinyi Zhong Chang Su Z. Fan 26 19 0 21 Dec 2020
ScreeNOT: Exact MSE-Optimal Singular Value Thresholding in Correlated Noise D. Donoho M. Gavish Elad Romanov 29 28 0 25 Sep 2020
Perturbation expansions and error bounds for the truncated singular value decomposition Trung Vu Evgenia Chunikhina Raviv Raich 15 24 0 16 Sep 2020
On the Non-Asymptotic Concentration of Heteroskedastic Wishart-type Matrix T. Tony Cai Rungang Han Anru R. Zhang 52 15 0 28 Aug 2020
Bidimensional linked matrix factorization for pan-omics pan-cancer analysis E. Lock Jun Young Park K. Hoadley 16 20 0 07 Feb 2020
Rapid evaluation of the spectral signal detection threshold and Stieltjes transform W. Leeb 37 7 0 26 Apr 2019
Optimal spectral shrinkage and PCA with heteroscedastic noise Qiangqiang Wu Yanjie Liang 32 25 0 06 Nov 2018
Adapting to Unknown Noise Distribution in Matrix Denoising Andrea Montanari Feng Ruan Jun Yan 36 13 0 06 Oct 2018
Tensor SVD: Statistical and Computational Limits Anru R. Zhang Dong Xia 28 166 0 08 Mar 2017
Testing in high-dimensional spiked models Iain M. Johnstone A. Onatski 46 53 0 24 Sep 2015
Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model D. Donoho M. Gavish Iain M. Johnstone 56 203 0 04 Nov 2013
OptShrink: An algorithm for improved low-rank signal matrix denoising by optimal, data-driven singular value shrinkage R. Nadakuditi 51 162 0 25 Jun 2013