Entrywise Estimation of Singular Vectors of Low-Rank Matrices with
Heteroskedasticity and Dependence

Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence

27 May 2021

Joshua Agterberg

Zachary Lubberts

Carey Priebe

Papers citing "Entrywise Estimation of Singular Vectors of Low-Rank Matrices with Heteroskedasticity and Dependence"

7 / 7 papers shown

Title
Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA Yuchen Zhou Yuxin Chen 40 4 0 10 Mar 2023
Exact Minimax Optimality of Spectral Methods in Phase Synchronization and Orthogonal Group Synchronization An Zhang 42 5 0 12 Sep 2022
Bayesian Sparse Gaussian Mixture Model in High Dimensions Dapeng Yao Fangzheng Xie Yanxun Xu 33 1 0 21 Jul 2022
Entrywise Recovery Guarantees for Sparse PCA via Sparsistent Algorithms Joshua Agterberg Jeremias Sulam 24 0 0 08 Feb 2022
Bias-adjusted spectral clustering in multi-layer stochastic block models Jing Lei K. Lin 35 47 0 18 Mar 2020
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 36 48 0 01 Feb 2018
Sparse Principal Component Analysis with missing observations Karim Lounici 63 43 0 31 May 2012