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KL property of exponent $1/2$ of $\ell_{2,0}$-norm and DC regularized
  factorizations for low-rank matrix recovery

KL property of exponent 1/21/21/2 of ℓ2,0\ell_{2,0}ℓ2,0​-norm and DC regularized factorizations for low-rank matrix recovery

24 August 2019
Shujun Bi
Ting Tao
S. Pan
ArXivPDFHTML

Papers citing "KL property of exponent $1/2$ of $\ell_{2,0}$-norm and DC regularized factorizations for low-rank matrix recovery"

18 / 18 papers shown
Title
Equivalent Lipschitz surrogates for zero-norm and rank optimization
  problems
Equivalent Lipschitz surrogates for zero-norm and rank optimization problems
Yulan Liu
Shujun Bi
S. Pan
54
32
0
30 Apr 2018
GEP-MSCRA for computing the group zero-norm regularized least squares
  estimator
GEP-MSCRA for computing the group zero-norm regularized least squares estimator
Shujun Bi
S. Pan
23
1
0
26 Apr 2018
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified
  Geometric Analysis
No Spurious Local Minima in Nonconvex Low Rank Problems: A Unified Geometric Analysis
Rong Ge
Chi Jin
Yi Zheng
115
436
0
03 Apr 2017
How to Escape Saddle Points Efficiently
How to Escape Saddle Points Efficiently
Chi Jin
Rong Ge
Praneeth Netrapalli
Sham Kakade
Michael I. Jordan
ODL
201
835
0
02 Mar 2017
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex
  Matrix Factorization
Symmetry, Saddle Points, and Global Optimization Landscape of Nonconvex Matrix Factorization
Xingguo Li
Junwei Lu
R. Arora
Jarvis Haupt
Han Liu
Zhaoran Wang
T. Zhao
57
52
0
29 Dec 2016
Non-square matrix sensing without spurious local minima via the
  Burer-Monteiro approach
Non-square matrix sensing without spurious local minima via the Burer-Monteiro approach
Dohyung Park
Anastasios Kyrillidis
Constantine Caramanis
Sujay Sanghavi
57
180
0
12 Sep 2016
Finding Low-Rank Solutions via Non-Convex Matrix Factorization,
  Efficiently and Provably
Finding Low-Rank Solutions via Non-Convex Matrix Factorization, Efficiently and Provably
Dohyung Park
Anastasios Kyrillidis
Constantine Caramanis
Sujay Sanghavi
48
56
0
10 Jun 2016
Matrix Completion has No Spurious Local Minimum
Matrix Completion has No Spurious Local Minimum
Rong Ge
Jason D. Lee
Tengyu Ma
85
599
0
24 May 2016
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its
  applications to linear convergence of first-order methods
Calculus of the exponent of Kurdyka-Łojasiewicz inequality and its applications to linear convergence of first-order methods
Guoyin Li
Ting Kei Pong
138
294
0
09 Feb 2016
A Convergent Gradient Descent Algorithm for Rank Minimization and
  Semidefinite Programming from Random Linear Measurements
A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements
Qinqing Zheng
John D. Lafferty
91
186
0
19 Jun 2015
Guaranteed Matrix Completion via Non-convex Factorization
Guaranteed Matrix Completion via Non-convex Factorization
Ruoyu Sun
Zhi-Quan Luo
90
452
0
28 Nov 2014
Robust Spectral Compressed Sensing via Structured Matrix Completion
Robust Spectral Compressed Sensing via Structured Matrix Completion
Yuxin Chen
Yuejie Chi
82
269
0
30 Apr 2013
Low-rank Matrix Completion using Alternating Minimization
Low-rank Matrix Completion using Alternating Minimization
Prateek Jain
Praneeth Netrapalli
Sujay Sanghavi
193
1,065
0
03 Dec 2012
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis
  Coefficients
A Rank-Corrected Procedure for Matrix Completion with Fixed Basis Coefficients
Weimin Miao
S. Pan
Defeng Sun
289
44
0
13 Oct 2012
Nuclear norm penalization and optimal rates for noisy low rank matrix
  completion
Nuclear norm penalization and optimal rates for noisy low rank matrix completion
V. Koltchinskii
Alexandre B. Tsybakov
Karim Lounici
193
662
0
29 Nov 2010
Collaborative Filtering in a Non-Uniform World: Learning with the
  Weighted Trace Norm
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
Ruslan Salakhutdinov
Nathan Srebro
134
234
0
14 Feb 2010
Estimation of (near) low-rank matrices with noise and high-dimensional
  scaling
Estimation of (near) low-rank matrices with noise and high-dimensional scaling
S. Negahban
Martin J. Wainwright
211
569
0
27 Dec 2009
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear
  Norm Minimization
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization
Benjamin Recht
Maryam Fazel
P. Parrilo
368
3,764
0
28 Jun 2007
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