Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices

30 November 2018

Papers citing "Asymmetry Helps: Eigenvalue and Eigenvector Analyses of Asymmetrically Perturbed Low-Rank Matrices"

6 / 6 papers shown

Title
Noisy Matrix Completion: Understanding Statistical Guarantees for Convex Relaxation via Nonconvex Optimization Yuxin Chen Yuejie Chi Jianqing Fan Cong Ma Yuling Yan 46 128 0 20 Feb 2019
Singular vector and singular subspace distribution for the matrix denoising model Z. Bao Xiucai Ding Ke Wang 68 51 0 27 Sep 2018
Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview Yuejie Chi Yue M. Lu Yuxin Chen 56 424 0 25 Sep 2018
Entrywise Eigenvector Analysis of Random Matrices with Low Expected Rank Emmanuel Abbe Jianqing Fan Kaizheng Wang Yiqiao Zhong 80 250 0 27 Sep 2017
Singular vectors under random perturbation V. Vu 158 75 0 12 Apr 2010
Matrix Completion from a Few Entries Raghunandan H. Keshavan Andrea Montanari Sewoong Oh 349 1,243 0 20 Jan 2009