Random perturbation of low rank matrices: Improving classical bounds

12 November 2013

Papers citing "Random perturbation of low rank matrices: Improving classical bounds"

12 / 12 papers shown

Title
Private Low-Rank Approximation for Covariance Matrices, Dyson Brownian Motion, and Eigenvalue-Gap Bounds for Gaussian Perturbations Oren Mangoubi Nisheeth K. Vishnoi 77 1 0 11 Feb 2025
Power Iteration for Tensor PCA Jiaoyang Huang Daniel Zhengyu Huang Qing Yang Guang Cheng 33 18 0 26 Dec 2020
Near-Optimal Performance Bounds for Orthogonal and Permutation Group Synchronization via Spectral Methods Shuyang Ling 34 34 0 12 Aug 2020
Time Series Source Separation using Dynamic Mode Decomposition Arvind Prasadan R. Nadakuditi AI4TS 21 6 0 04 Mar 2019
Singular vector and singular subspace distribution for the matrix denoising model Z. Bao Xiucai Ding Ke Wang 13 51 0 27 Sep 2018
Robust high dimensional factor models with applications to statistical machine learning Jianqing Fan Kaizheng Wang Yiqiao Zhong Ziwei Zhu 32 54 0 12 Aug 2018
Matrices with Gaussian noise: optimal estimates for singular subspace perturbation Sean O’Rourke Van Vu Ke Wang 14 7 0 02 Mar 2018
Signal-plus-noise matrix models: eigenvector deviations and fluctuations Joshua Cape M. Tang Carey E. Priebe 43 48 0 01 Feb 2018
The Kato--Temple inequality and eigenvalue concentration with applications to graph inference Joshua Cape M. Tang Carey E. Priebe 24 7 0 19 Mar 2016
Laplacian Eigenmaps from Sparse, Noisy Similarity Measurements Keith D. Levin V. Lyzinski 24 14 0 12 Mar 2016
Singular Vector Perturbation under Gaussian Noise Rongrong Wang 71 31 0 09 Aug 2012
Singular vectors under random perturbation V. Vu 99 74 0 12 Apr 2010