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1309.1952
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A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries
8 September 2013
Alekh Agarwal
Anima Anandkumar
Praneeth Netrapalli
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Papers citing
"A Clustering Approach to Learn Sparsely-Used Overcomplete Dictionaries"
13 / 13 papers shown
Title
Wave-informed dictionary learning for high-resolution imaging in complex media
Miguel Moscoso
Alexei Novikov
George Papanicolaou
C. Tsogka
20
0
0
22 Sep 2023
Optimal Regularization for a Data Source
Oscar Leong
Eliza O'Reilly
Yong Sheng Soh
V. Chandrasekaran
25
4
0
27 Dec 2022
Unique Sharp Local Minimum in
ℓ
1
\ell_1
ℓ
1
-minimization Complete Dictionary Learning
Yu Wang
Siqi Wu
Bin Yu
20
5
0
22 Feb 2019
Subgradient Descent Learns Orthogonal Dictionaries
Yu Bai
Qijia Jiang
Ju Sun
20
51
0
25 Oct 2018
Learning Semidefinite Regularizers
Yong Sheng Soh
V. Chandrasekaran
37
6
0
05 Jan 2017
When Are Nonconvex Problems Not Scary?
Ju Sun
Qing Qu
John N. Wright
24
166
0
21 Oct 2015
A General Framework for Bayes Structured Linear Models
Chao Gao
A. van der Vaart
Harrison H. Zhou
48
57
0
06 Jun 2015
Convergence radius and sample complexity of ITKM algorithms for dictionary learning
Karin Schnass
38
39
0
24 Mar 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora
Rong Ge
Tengyu Ma
Ankur Moitra
47
190
0
02 Mar 2015
Finding a sparse vector in a subspace: Linear sparsity using alternating directions
Qing Qu
Ju Sun
John N. Wright
19
111
0
15 Dec 2014
Phase transitions and sample complexity in Bayes-optimal matrix factorization
Y. Kabashima
Florent Krzakala
M. Mézard
A. Sakata
Lenka Zdeborová
63
106
0
06 Feb 2014
Local Identification of Overcomplete Dictionaries
Karin Schnass
43
42
0
24 Jan 2014
Local stability and robustness of sparse dictionary learning in the presence of noise
Rodolphe Jenatton
Tuo Chen
Francis R. Bach
103
49
0
02 Oct 2012
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