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New Algorithms for Learning Incoherent and Overcomplete Dictionaries
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New Algorithms for Learning Incoherent and Overcomplete Dictionaries

28 August 2013
Sanjeev Arora
Rong Ge
Ankur Moitra
ArXiv (abs)PDFHTML

Papers citing "New Algorithms for Learning Incoherent and Overcomplete Dictionaries"

50 / 103 papers shown
Title
Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials
Goodness-of-Fit Tests for Random Partitions via Symmetric Polynomials
Chao Gao
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On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
On the Reconstruction Risk of Convolutional Sparse Dictionary Learning
Shashank Singh
Barnabás Póczós
Jian Ma
83
2
0
29 Aug 2017
Shapelet-based Sparse Representation for Landcover Classification of
  Hyperspectral Images
Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images
R. Roscher
B. Waske
30
35
0
20 Aug 2017
Sparse Coding and Autoencoders
Sparse Coding and Autoencoders
Akshay Rangamani
Anirbit Mukherjee
A. Basu
T. Ganapathi
Ashish Arora
S. Chin
T. Tran
112
20
0
12 Aug 2017
Lifelong Learning in Costly Feature Spaces
Lifelong Learning in Costly Feature Spaces
Maria-Florina Balcan
Avrim Blum
Vaishnavh Nagarajan
CLL
24
3
0
30 Jun 2017
Dictionary Learning from Incomplete Data
Dictionary Learning from Incomplete Data
Valeriya Naumova
Karin Schnass
59
11
0
13 Jan 2017
Learning Semidefinite Regularizers
Learning Semidefinite Regularizers
Yong Sheng Soh
V. Chandrasekaran
75
6
0
05 Jan 2017
Distributed Dictionary Learning
Distributed Dictionary Learning
Amir Daneshmand
G. Scutari
F. Facchinei
FedML
53
9
0
21 Dec 2016
Homotopy Analysis for Tensor PCA
Homotopy Analysis for Tensor PCA
Anima Anandkumar
Yuan-bei Deng
Rong Ge
H. Mobahi
126
43
0
28 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
Tensor Graphical Model: Non-convex Optimization and Statistical
  Inference
Tensor Graphical Model: Non-convex Optimization and Statistical Inference
Xiang Lyu
W. Sun
Zhaoran Wang
Han Liu
Jian Yang
Guang Cheng
CML
55
0
0
15 Sep 2016
Multi-modal dictionary learning for image separation with application in
  art investigation
Multi-modal dictionary learning for image separation with application in art investigation
Nikos Deligiannis
João F. C. Mota
Bruno Cornelis
M. Rodrigues
Ingrid Daubechies
59
29
0
14 Jul 2016
Discovery of Latent Factors in High-dimensional Data Using Tensor
  Methods
Discovery of Latent Factors in High-dimensional Data Using Tensor Methods
Furong Huang
64
6
0
10 Jun 2016
Provable Algorithms for Inference in Topic Models
Provable Algorithms for Inference in Topic Models
Sanjeev Arora
Rong Ge
Frederic Koehler
Tengyu Ma
Ankur Moitra
43
30
0
27 May 2016
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning
Minimax Lower Bounds for Kronecker-Structured Dictionary Learning
Z. Shakeri
W. Bajwa
Anand D. Sarwate
46
18
0
17 May 2016
Variance Reduction for Faster Non-Convex Optimization
Variance Reduction for Faster Non-Convex Optimization
Zeyuan Allen-Zhu
Elad Hazan
ODL
127
392
0
17 Mar 2016
A Geometric Analysis of Phase Retrieval
A Geometric Analysis of Phase Retrieval
Ju Sun
Qing Qu
John N. Wright
144
526
0
22 Feb 2016
An improved analysis of the ER-SpUD dictionary learning algorithm
An improved analysis of the ER-SpUD dictionary learning algorithm
Jarosław Błasiok
Jelani Nelson
61
13
0
18 Feb 2016
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The
  $\ell_0$ Method
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The ℓ0\ell_0ℓ0​ Method
S. Ravishankar
R. Nadakuditi
Jeffrey A. Fessler
81
7
0
27 Nov 2015
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its
  Application to Inverse Problems
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems
S. Ravishankar
R. Nadakuditi
Jeffrey A. Fessler
86
39
0
19 Nov 2015
Complete Dictionary Recovery over the Sphere I: Overview and the
  Geometric Picture
Complete Dictionary Recovery over the Sphere I: Overview and the Geometric Picture
Ju Sun
Qing Qu
John N. Wright
132
159
0
11 Nov 2015
When Are Nonconvex Problems Not Scary?
When Are Nonconvex Problems Not Scary?
Ju Sun
Qing Qu
John N. Wright
148
166
0
21 Oct 2015
A Dictionary Learning Approach for Factorial Gaussian Models
A Dictionary Learning Approach for Factorial Gaussian Models
Y. C. Sübakan
Johannes Traa
Paris Smaragdis
Noah D. Stein
6
0
0
18 Aug 2015
On the Minimax Risk of Dictionary Learning
On the Minimax Risk of Dictionary Learning
A. Jung
Yonina C. Eldar
N. Goertz
114
36
0
20 Jul 2015
Sparse Approximation via Generating Point Sets
Sparse Approximation via Generating Point Sets
Avrim Blum
Sariel Har-Peled
Benjamin Raichel
48
35
0
09 Jul 2015
Convolutional Dictionary Learning through Tensor Factorization
Convolutional Dictionary Learning through Tensor Factorization
Furong Huang
Anima Anandkumar
93
42
0
10 Jun 2015
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
77
202
0
26 Apr 2015
Convergence radius and sample complexity of ITKM algorithms for
  dictionary learning
Convergence radius and sample complexity of ITKM algorithms for dictionary learning
Karin Schnass
118
39
0
24 Mar 2015
On some provably correct cases of variational inference for topic models
On some provably correct cases of variational inference for topic models
Pranjal Awasthi
Andrej Risteski
VLMBDL
69
17
0
23 Mar 2015
Simple, Efficient, and Neural Algorithms for Sparse Coding
Simple, Efficient, and Neural Algorithms for Sparse Coding
Sanjeev Arora
Rong Ge
Tengyu Ma
Ankur Moitra
121
193
0
02 Mar 2015
Score Function Features for Discriminative Learning
Score Function Features for Discriminative Learning
Majid Janzamin
Hanie Sedghi
Anima Anandkumar
124
43
0
19 Dec 2014
Example Selection For Dictionary Learning
Example Selection For Dictionary Learning
Tomoki Tsuchida
G. Cottrell
119
47
0
18 Dec 2014
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
Sparse Modeling for Image and Vision Processing
Sparse Modeling for Image and Vision Processing
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
117
491
0
12 Nov 2014
Efficient Representations for Life-Long Learning and Autoencoding
Efficient Representations for Life-Long Learning and Autoencoding
Maria-Florina Balcan
Avrim Blum
Santosh Vempala
119
72
0
06 Nov 2014
Sample Complexity Analysis for Learning Overcomplete Latent Variable
  Models through Tensor Methods
Sample Complexity Analysis for Learning Overcomplete Latent Variable Models through Tensor Methods
Anima Anandkumar
Rong Ge
Majid Janzamin
150
5
0
03 Aug 2014
Sparse and spurious: dictionary learning with noise and outliers
Sparse and spurious: dictionary learning with noise and outliers
Rémi Gribonval
Rodolphe Jenatton
Francis R. Bach
163
96
0
19 Jul 2014
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares
  Method
Dictionary Learning and Tensor Decomposition via the Sum-of-Squares Method
Boaz Barak
Jonathan A. Kelner
David Steurer
126
190
0
06 Jul 2014
Sum-of-squares proofs and the quest toward optimal algorithms
Sum-of-squares proofs and the quest toward optimal algorithms
Boaz Barak
David Steurer
101
139
0
21 Apr 2014
Spectral Sparse Representation for Clustering: Evolved from PCA,
  K-means, Laplacian Eigenmap, and Ratio Cut
Spectral Sparse Representation for Clustering: Evolved from PCA, K-means, Laplacian Eigenmap, and Ratio Cut
Zhenfang Hu
Gang Pan
Yueming Wang
Zhaohui Wu
81
3
0
25 Mar 2014
An Incidence Geometry approach to Dictionary Learning
An Incidence Geometry approach to Dictionary Learning
Meera Sitharam
M. Tarifi
Menghan Wang
47
4
0
28 Feb 2014
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-$1$
  Updates
Guaranteed Non-Orthogonal Tensor Decomposition via Alternating Rank-111 Updates
Anima Anandkumar
Rong Ge
Majid Janzamin
170
132
0
21 Feb 2014
Performance Limits of Dictionary Learning for Sparse Coding
Performance Limits of Dictionary Learning for Sparse Coding
A. Jung
Yonina C. Eldar
N. Goertz
148
14
0
17 Feb 2014
Phase transitions and sample complexity in Bayes-optimal matrix
  factorization
Phase transitions and sample complexity in Bayes-optimal matrix factorization
Y. Kabashima
Florent Krzakala
M. Mézard
A. Sakata
Lenka Zdeborová
172
109
0
06 Feb 2014
Local Identification of Overcomplete Dictionaries
Local Identification of Overcomplete Dictionaries
Karin Schnass
133
42
0
24 Jan 2014
More Algorithms for Provable Dictionary Learning
More Algorithms for Provable Dictionary Learning
Sanjeev Arora
Aditya Bhaskara
Rong Ge
Tengyu Ma
107
55
0
03 Jan 2014
Rounding Sum-of-Squares Relaxations
Rounding Sum-of-Squares Relaxations
Boaz Barak
Jonathan A. Kelner
David Steurer
95
126
0
23 Dec 2013
Sample Complexity of Dictionary Learning and other Matrix Factorizations
Sample Complexity of Dictionary Learning and other Matrix Factorizations
Rémi Gribonval
Rodolphe Jenatton
Francis R. Bach
M. Kleinsteuber
Matthias Seibert
199
85
0
13 Dec 2013
Sparse Matrix Factorization
Sparse Matrix Factorization
Behnam Neyshabur
Rina Panigrahy
106
26
0
13 Nov 2013
Learning Sparsely Used Overcomplete Dictionaries via Alternating
  Minimization
Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization
Alekh Agarwal
Anima Anandkumar
Prateek Jain
Praneeth Netrapalli
156
173
0
30 Oct 2013
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