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A Counterexample for the Validity of Using Nuclear Norm as a Convex
  Surrogate of Rank
v1v2 (latest)

A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank

23 April 2013
Hongyang R. Zhang
Zhouchen Lin
Chao Zhang
ArXiv (abs)PDFHTML

Papers citing "A Counterexample for the Validity of Using Nuclear Norm as a Convex Surrogate of Rank"

6 / 6 papers shown
Title
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank
  Constraints
Mixed-Projection Conic Optimization: A New Paradigm for Modeling Rank Constraints
Dimitris Bertsimas
Ryan Cory-Wright
J. Pauphilet
99
20
0
22 Sep 2020
Testing Matrix Rank, Optimally
Testing Matrix Rank, Optimally
Maria-Florina Balcan
Yi Li
David P. Woodruff
Hongyang R. Zhang
90
24
0
18 Oct 2018
Matrix Completion and Related Problems via Strong Duality
Matrix Completion and Related Problems via Strong Duality
Maria-Florina Balcan
Yingyu Liang
David P. Woodruff
Hongyang R. Zhang
73
8
0
27 Apr 2017
Robust Subspace Clustering via Smoothed Rank Approximation
Robust Subspace Clustering via Smoothed Rank Approximation
Zhao Kang
Chong Peng
Q. Cheng
81
47
0
18 Aug 2015
Completing Low-Rank Matrices with Corrupted Samples from Few
  Coefficients in General Basis
Completing Low-Rank Matrices with Corrupted Samples from Few Coefficients in General Basis
Hongyang R. Zhang
Zhouchen Lin
Chao Zhang
71
20
0
25 Jun 2015
Relations among Some Low Rank Subspace Recovery Models
Relations among Some Low Rank Subspace Recovery Models
Hongyang R. Zhang
Zhouchen Lin
Chao Zhang
Junbin Gao
85
29
0
06 Dec 2014
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