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Learning Sparsely Used Overcomplete Dictionaries via Alternating
  Minimization

Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization

30 October 2013
Alekh Agarwal
Anima Anandkumar
Prateek Jain
Praneeth Netrapalli
ArXivPDFHTML

Papers citing "Learning Sparsely Used Overcomplete Dictionaries via Alternating Minimization"

30 / 30 papers shown
Title
Wave-informed dictionary learning for high-resolution imaging in complex
  media
Wave-informed dictionary learning for high-resolution imaging in complex media
Miguel Moscoso
Alexei Novikov
George Papanicolaou
C. Tsogka
15
0
0
22 Sep 2023
Optimal Regularization for a Data Source
Optimal Regularization for a Data Source
Oscar Leong
Eliza O'Reilly
Yong Sheng Soh
V. Chandrasekaran
25
4
0
27 Dec 2022
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
Simple Alternating Minimization Provably Solves Complete Dictionary Learning
Geyu Liang
G. Zhang
S. Fattahi
Richard Y. Zhang
15
5
0
23 Oct 2022
Unique sparse decomposition of low rank matrices
Unique sparse decomposition of low rank matrices
Dian Jin
Xin Bing
Yuqian Zhang
33
4
0
14 Jun 2021
Understanding approximate and unrolled dictionary learning for pattern
  recovery
Understanding approximate and unrolled dictionary learning for pattern recovery
Benoit Malézieux
Thomas Moreau
M. Kowalski
MU
22
10
0
11 Jun 2021
Model-Based Deep Learning
Model-Based Deep Learning
Nir Shlezinger
Jay Whang
Yonina C. Eldar
A. Dimakis
28
317
0
15 Dec 2020
Feature Purification: How Adversarial Training Performs Robust Deep
  Learning
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLT
AAML
37
147
0
20 May 2020
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image
  Classification
Discriminative Robust Deep Dictionary Learning for Hyperspectral Image Classification
Vanika Singhal
H. Aggarwal
Snigdha Tariyal
A. Majumdar
OOD
18
47
0
11 Dec 2019
Analysis of the Optimization Landscapes for Overcomplete Representation
  Learning
Analysis of the Optimization Landscapes for Overcomplete Representation Learning
Qing Qu
Yuexiang Zhai
Xiao Li
Yuqian Zhang
Zhihui Zhu
22
9
0
05 Dec 2019
RandNet: deep learning with compressed measurements of images
RandNet: deep learning with compressed measurements of images
Thomas Chang
Bahareh Tolooshams
Demba E. Ba
23
11
0
25 Aug 2019
Deep Non-Rigid Structure from Motion with Missing Data
Deep Non-Rigid Structure from Motion with Missing Data
Chen Kong
Simon Lucey
34
69
0
30 Jul 2019
Fast Convolutional Dictionary Learning off the Grid
Fast Convolutional Dictionary Learning off the Grid
Andrew H. Song
Francisco J. Flores
Demba E. Ba
20
2
0
22 Jul 2019
Unique Sharp Local Minimum in $\ell_1$-minimization Complete Dictionary
  Learning
Unique Sharp Local Minimum in ℓ1\ell_1ℓ1​-minimization Complete Dictionary Learning
Yu Wang
Siqi Wu
Bin Yu
20
5
0
22 Feb 2019
Non-convex Optimization for Machine Learning
Non-convex Optimization for Machine Learning
Prateek Jain
Purushottam Kar
33
479
0
21 Dec 2017
Dictionary Learning from Incomplete Data
Dictionary Learning from Incomplete Data
Valeriya Naumova
Karin Schnass
15
11
0
13 Jan 2017
Learning Semidefinite Regularizers
Learning Semidefinite Regularizers
Yong Sheng Soh
V. Chandrasekaran
31
6
0
05 Jan 2017
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors
Fast Orthonormal Sparsifying Transforms Based on Householder Reflectors
Cristian Rusu
N. G. Prelcic
R. Heath
19
15
0
24 Nov 2016
When Are Nonconvex Problems Not Scary?
When Are Nonconvex Problems Not Scary?
Ju Sun
Qing Qu
John N. Wright
24
166
0
21 Oct 2015
Complete Dictionary Recovery over the Sphere
Complete Dictionary Recovery over the Sphere
Ju Sun
Qing Qu
John N. Wright
33
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
33
39
0
24 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
45
190
0
02 Mar 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
16
111
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
45
488
0
12 Nov 2014
Non-convex Robust PCA
Non-convex Robust PCA
Praneeth Netrapalli
U. Niranjan
Sujay Sanghavi
Anima Anandkumar
Prateek Jain
48
284
0
28 Oct 2014
Statistical guarantees for the EM algorithm: From population to
  sample-based analysis
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman Balakrishnan
Martin J. Wainwright
Bin Yu
65
474
0
09 Aug 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
31
187
0
06 Jul 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
39
131
0
21 Feb 2014
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
43
85
0
13 Dec 2013
Smooth Sparse Coding via Marginal Regression for Learning Sparse
  Representations
Smooth Sparse Coding via Marginal Regression for Learning Sparse Representations
Krishnakumar Balasubramanian
Kai Yu
Guy Lebanon
72
34
0
03 Oct 2012
Local stability and robustness of sparse dictionary learning in the
  presence of noise
Local stability and robustness of sparse dictionary learning in the presence of noise
Rodolphe Jenatton
Tuo Chen
Francis R. Bach
100
49
0
02 Oct 2012
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