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Online Learning for Matrix Factorization and Sparse Coding
v1v2 (latest)

Online Learning for Matrix Factorization and Sparse Coding

1 August 2009
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
ArXiv (abs)PDFHTML

Papers citing "Online Learning for Matrix Factorization and Sparse Coding"

50 / 415 papers shown
Title
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any
  Path Loss Maps
Hybrid Model and Data Driven Algorithm for Online Learning of Any-to-Any Path Loss Maps
M. A. Gutierrez-Estevez
Martin Kasparick
Renato L. G. Cavalvante
S. Stańczak
13
1
0
14 Jul 2021
Tensor Methods in Computer Vision and Deep Learning
Tensor Methods in Computer Vision and Deep Learning
Yannis Panagakis
Jean Kossaifi
Grigorios G. Chrysos
James Oldfield
M. Nicolaou
Anima Anandkumar
Stefanos Zafeiriou
62
126
0
07 Jul 2021
Cogradient Descent for Dependable Learning
Cogradient Descent for Dependable Learning
Runqi Wang
Baochang Zhang
Lian Zhuo
QiXiang Ye
David Doermann
30
0
0
20 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
54
13
0
11 Jun 2021
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data
  using Group ICA and Dictionary Learning
Deriving Autism Spectrum Disorder Functional Networks from RS-FMRI Data using Group ICA and Dictionary Learning
Xin Yang
Ning Zhang
Donglin Wang
18
0
0
07 Jun 2021
Fast and Robust Online Inference with Stochastic Gradient Descent via
  Random Scaling
Fast and Robust Online Inference with Stochastic Gradient Descent via Random Scaling
S. Lee
Yuan Liao
M. Seo
Youngki Shin
92
32
0
06 Jun 2021
Bayesian reconstruction of memories stored in neural networks from their
  connectivity
Bayesian reconstruction of memories stored in neural networks from their connectivity
Sebastian Goldt
Florent Krzakala
Lenka Zdeborová
Nicolas Brunel
54
4
0
16 May 2021
MarioNette: Self-Supervised Sprite Learning
MarioNette: Self-Supervised Sprite Learning
Dmitriy Smirnov
Michael Gharbi
Matthew Fisher
Vitor Campagnolo Guizilini
Alexei A. Efros
Justin Solomon
SSLOCL
153
37
0
29 Apr 2021
Efficient Sparse Coding using Hierarchical Riemannian Pursuit
Efficient Sparse Coding using Hierarchical Riemannian Pursuit
Ye Xue
Vincent K. N. Lau
Songfu Cai
172
3
0
21 Apr 2021
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly
  detection
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection
Ryuji Imamura
Kohei Azuma
Atsushi Hanamoto
Atsunori Kanemura
9
5
0
09 Apr 2021
Learning low-rank latent mesoscale structures in networks
Learning low-rank latent mesoscale structures in networks
Hanbaek Lyu
Yacoub H. Kureh
Joshua Vendrow
M. A. Porter
66
9
0
13 Feb 2021
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
Modeling Dynamic User Interests: A Neural Matrix Factorization Approach
Paramveer S. Dhillon
Sinan Aral
AI4TS
23
20
0
12 Feb 2021
Learning to Initialize Gradient Descent Using Gradient Descent
Learning to Initialize Gradient Descent Using Gradient Descent
Kartik Ahuja
Amit Dhurandhar
Kush R. Varshney
21
0
0
22 Dec 2020
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
K-Deep Simplex: Deep Manifold Learning via Local Dictionaries
Pranay Tankala
Abiy Tasissa
James M. Murphy
Demba E. Ba
100
11
0
03 Dec 2020
A Nonconvex Framework for Structured Dynamic Covariance Recovery
A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai
Mladen Kolar
Oluwasanmi Koyejo
62
3
0
11 Nov 2020
Learning for Integer-Constrained Optimization through Neural Networks
  with Limited Training
Learning for Integer-Constrained Optimization through Neural Networks with Limited Training
Zhou Zhou
Shashank Jere
Lizhong Zheng
Lingjia Liu
44
7
0
10 Nov 2020
Gaussian Compression Stream: Principle and Preliminary Results
Gaussian Compression Stream: Principle and Preliminary Results
Farouk Yahaya
M. Puigt
G. Delmaire
G. Roussel
56
1
0
10 Nov 2020
Applications of Online Nonnegative Matrix Factorization to Image and
  Time-Series Data
Applications of Online Nonnegative Matrix Factorization to Image and Time-Series Data
Hanbaek Lyu
G. Menz
Deanna Needell
Christopher Strohmeier
36
4
0
10 Nov 2020
Region-specific Dictionary Learning-based Low-dose Thoracic CT
  Reconstruction
Region-specific Dictionary Learning-based Low-dose Thoracic CT Reconstruction
Qiong Xu
Jeff Wang
H. Shirato
Lei Xing
8
0
0
20 Oct 2020
A Theoretical Perspective on Hyperdimensional Computing
A Theoretical Perspective on Hyperdimensional Computing
Anthony Thomas
S. Dasgupta
Tajana Simunic
83
87
0
14 Oct 2020
Online nonnegative CP-dictionary learning for Markovian data
Online nonnegative CP-dictionary learning for Markovian data
Hanbaek Lyu
Christopher Strohmeier
Deanna Needell
64
10
0
16 Sep 2020
Switching Loss for Generalized Nucleus Detection in Histopathology
Switching Loss for Generalized Nucleus Detection in Histopathology
Deepak Anand
Gaurav Patel
Yaman Dang
A. Sethi
MedIm
32
1
0
09 Aug 2020
mpNet: variable depth unfolded neural network for massive MIMO channel
  estimation
mpNet: variable depth unfolded neural network for massive MIMO channel estimation
Taha Yassine
Luc Le Magoarou
90
26
0
07 Aug 2020
Stabilizing Deep Tomographic Reconstruction
Stabilizing Deep Tomographic Reconstruction
Weiwen Wu
Dianlin Hu
W. Cong
Hongming Shan
Shaoyu Wang
Chuang Niu
Pingkun Yan
Hengyong Yu
V. Vardhanabhuti
Ge Wang
OOD
63
10
0
04 Aug 2020
Rethinking Image Deraining via Rain Streaks and Vapors
Rethinking Image Deraining via Rain Streaks and Vapors
Yinglong Wang
Yibing Song
Chao Ma
B. Zeng
DiffM
83
52
0
03 Aug 2020
Spectral Superresolution of Multispectral Imagery with Joint Sparse and
  Low-Rank Learning
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning
Lianru Gao
Danfeng Hong
Jing Yao
Bing Zhang
Paolo Gamba
Jocelyn Chanussot
96
127
0
28 Jul 2020
Tensor Convolutional Sparse Coding with Low-Rank activations, an
  application to EEG analysis
Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis
Pierre Humbert
L. Oudre
Nicolas Vayatis
Julien Audiffren
69
0
0
06 Jul 2020
Novel min-max reformulations of Linear Inverse Problems
Novel min-max reformulations of Linear Inverse Problems
Mohammed Rayyan Sheriff
Debasish Chatterjee
68
1
0
05 Jul 2020
Structured and Localized Image Restoration
Structured and Localized Image Restoration
Thomas Eboli
Alex Nowak-Vila
Jian Sun
Francis R. Bach
Jean Ponce
Alessandro Rudi
20
0
0
16 Jun 2020
Cogradient Descent for Bilinear Optimization
Cogradient Descent for Bilinear Optimization
Lian Zhuo
Baochang Zhang
Linlin Yang
Hanlin Chen
QiXiang Ye
David Doermann
G. Guo
Rongrong Ji
58
14
0
16 Jun 2020
Recovery and Generalization in Over-Realized Dictionary Learning
Recovery and Generalization in Over-Realized Dictionary Learning
Jeremias Sulam
Chong You
Zhihui Zhu
FedML
66
8
0
11 Jun 2020
Procrustean Orthogonal Sparse Hashing
Procrustean Orthogonal Sparse Hashing
Mariano Tepper
D. Sengupta
Ted Willke
43
1
0
08 Jun 2020
Self-Representation Based Unsupervised Exemplar Selection in a Union of
  Subspaces
Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces
Chong You
Chi Li
Daniel P. Robinson
René Vidal
67
16
0
07 Jun 2020
A Sparse and Locally Coherent Morphable Face Model for Dense Semantic
  Correspondence Across Heterogeneous 3D Faces
A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces
Claudio Ferrari
Stefano Berretti
P. Pala
A. Bimbo
3DV3DHCVBM
55
24
0
06 Jun 2020
Momentum-based variance-reduced proximal stochastic gradient method for
  composite nonconvex stochastic optimization
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization
Yangyang Xu
Yibo Xu
69
25
0
31 May 2020
Feature Purification: How Adversarial Training Performs Robust Deep
  Learning
Feature Purification: How Adversarial Training Performs Robust Deep Learning
Zeyuan Allen-Zhu
Yuanzhi Li
MLTAAML
122
151
0
20 May 2020
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth
  Optimization over the Stiefel Manifold
Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold
Bokun Wang
Shiqian Ma
Lingzhou Xue
83
19
0
03 May 2020
Online unsupervised deep unfolding for MIMO channel estimation
Online unsupervised deep unfolding for MIMO channel estimation
Luc Le Magoarou
S. Paquelet
16
3
0
30 Apr 2020
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online
  NMF
COVID-19 Time-series Prediction by Joint Dictionary Learning and Online NMF
Hanbaek Lyu
Christopher Strohmeier
G. Menz
Deanna Needell
52
10
0
20 Apr 2020
Second-order Conditional Gradient Sliding
Second-order Conditional Gradient Sliding
Alejandro Carderera
Sebastian Pokutta
123
13
0
20 Feb 2020
Online Covariance Matrix Estimation in Stochastic Gradient Descent
Online Covariance Matrix Estimation in Stochastic Gradient Descent
Wanrong Zhu
Xi Chen
Wei Biao Wu
133
57
0
10 Feb 2020
Super-efficiency of automatic differentiation for functions defined as a
  minimum
Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin
Gabriel Peyré
Thomas Moreau
89
42
0
10 Feb 2020
Supervised Quantile Normalization for Low-rank Matrix Approximation
Supervised Quantile Normalization for Low-rank Matrix Approximation
Marco Cuturi
O. Teboul
Jonathan Niles-Weed
Jean-Philippe Vert
47
3
0
08 Feb 2020
A first-order optimization algorithm for statistical learning with
  hierarchical sparsity structure
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure
Dewei Zhang
Yin Liu
S. Tajbakhsh
73
2
0
10 Jan 2020
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for
  Image Morphing
Barycenters of Natural Images -- Constrained Wasserstein Barycenters for Image Morphing
Dror Simon
Aviad Aberdam
53
22
0
24 Dec 2019
Low-rank representations with incoherent dictionary for face recognition
Low-rank representations with incoherent dictionary for face recognition
P. Xie
Hefeng Yin
Xiaojun Wu
CVBM
16
0
0
10 Dec 2019
Sparse and redundant signal representations for x-ray computed
  tomography
Sparse and redundant signal representations for x-ray computed tomography
Davood Karimi
MedIm
63
1
0
06 Dec 2019
Towards Understanding Residual and Dilated Dense Neural Networks via
  Convolutional Sparse Coding
Towards Understanding Residual and Dilated Dense Neural Networks via Convolutional Sparse Coding
Zhiyang Zhang
Shihua Zhang
72
15
0
05 Dec 2019
Fully Trainable and Interpretable Non-Local Sparse Models for Image
  Restoration
Fully Trainable and Interpretable Non-Local Sparse Models for Image Restoration
Bruno Lecouat
Jean Ponce
Julien Mairal
55
1
0
05 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
109
10
0
05 Dec 2019
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