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Fast spectral algorithms from sum-of-squares proofs: tensor
  decomposition and planted sparse vectors
v1v2 (latest)

Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors

8 December 2015
Samuel B. Hopkins
T. Schramm
Jonathan Shi
David Steurer
ArXiv (abs)PDFHTML

Papers citing "Fast spectral algorithms from sum-of-squares proofs: tensor decomposition and planted sparse vectors"

6 / 56 papers shown
Title
Exact tensor completion with sum-of-squares
Exact tensor completion with sum-of-squares
Aaron Potechin
David Steurer
207
80
0
21 Feb 2017
Spectral algorithms for tensor completion
Spectral algorithms for tensor completion
Andrea Montanari
Nike Sun
170
87
0
23 Dec 2016
Polynomial-time Tensor Decompositions with Sum-of-Squares
Polynomial-time Tensor Decompositions with Sum-of-Squares
Tengyu Ma
Jonathan Shi
David Steurer
212
121
0
06 Oct 2016
A Non-generative Framework and Convex Relaxations for Unsupervised
  Learning
A Non-generative Framework and Convex Relaxations for Unsupervised Learning
Elad Hazan
Tengyu Ma
112
19
0
04 Oct 2016
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian
  Trust-region Method
Complete Dictionary Recovery over the Sphere II: Recovery by Riemannian Trust-region Method
Ju Sun
Qing Qu
John N. Wright
98
147
0
15 Nov 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating
  directions
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu
Ju Sun
John N. Wright
129
112
0
15 Dec 2014
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