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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
Beyond FACS: Data-driven Facial Expression Dictionaries, with Application to Predicting Autism
Beyond FACS: Data-driven Facial Expression Dictionaries, with Application to Predicting Autism
Evangelos Sariyanidi
Lisa Yankowitz
Robert T. Schultz
John D. Herrington
Birkan Tunc
Jeffrey Cohn
22
0
0
30 May 2025
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Are Sparse Autoencoders Useful for Java Function Bug Detection?
Rui Melo
Claudia Mamede
Andre Catarino
Rui Abreu
Henrique Lopes Cardoso
130
0
0
15 May 2025
Online multidimensional dictionary learning
Ferdaous Ait Addi
Abdeslem Hafid Bentbib
Khalide Jbilou
96
0
0
13 Mar 2025
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play
  Algorithms
Analysis and Synthesis Denoisers for Forward-Backward Plug-and-Play Algorithms
M. Kowalski
Benoit Malézieux
Thomas Moreau
Audrey Repetti
104
0
0
20 Nov 2024
Quantum Algorithm for Sparse Online Learning with Truncated Gradient
  Descent
Quantum Algorithm for Sparse Online Learning with Truncated Gradient Descent
Debbie Lim
Yixian Qiu
Patrick Rebentrost
Qisheng Wang
172
0
0
06 Nov 2024
Convergence and Complexity Guarantee for Inexact First-order Riemannian
  Optimization Algorithms
Convergence and Complexity Guarantee for Inexact First-order Riemannian Optimization Algorithms
Yuchen Li
Laura Balzano
Deanna Needell
Hanbaek Lyu
67
1
0
05 May 2024
Image Deraining via Self-supervised Reinforcement Learning
Image Deraining via Self-supervised Reinforcement Learning
He-Hao Liao
Yan-Tsung Peng
Wen-Tao Chu
Ping-Chun Hsieh
Chung-Chi Tsai
123
1
0
27 Mar 2024
Anderson acceleration for iteratively reweighted $\ell_1$ algorithm
Anderson acceleration for iteratively reweighted ℓ1\ell_1ℓ1​ algorithm
Kexin Li
43
0
0
12 Mar 2024
Transcending the Limit of Local Window: Advanced Super-Resolution
  Transformer with Adaptive Token Dictionary
Transcending the Limit of Local Window: Advanced Super-Resolution Transformer with Adaptive Token Dictionary
Leheng Zhang
Yawei Li
Xingyu Zhou
Xiaorui Zhao
Shuhang Gu
SupR
97
35
0
16 Jan 2024
Stochastic optimization with arbitrary recurrent data sampling
Stochastic optimization with arbitrary recurrent data sampling
William G. Powell
Hanbaek Lyu
85
0
0
15 Jan 2024
Interpretable factorization of clinical questionnaires to identify
  latent factors of psychopathology
Interpretable factorization of clinical questionnaires to identify latent factors of psychopathology
K. Lam
Bridget W. Mahony
Armin Raznahan
Francisco Pereira
32
0
0
12 Dec 2023
Exponentially Convergent Algorithms for Supervised Matrix Factorization
Exponentially Convergent Algorithms for Supervised Matrix Factorization
Joowon Lee
Hanbaek Lyu
Weixin Yao
60
1
0
18 Nov 2023
CoLiDE: Concomitant Linear DAG Estimation
CoLiDE: Concomitant Linear DAG Estimation
S. S. Saboksayr
Gonzalo Mateos
Mariano Tepper
CML
79
5
0
04 Oct 2023
On Sparse Modern Hopfield Model
On Sparse Modern Hopfield Model
Jerry Yao-Chieh Hu
Donglin Yang
Dennis Wu
Chenwei Xu
Bo-Yu Chen
Han Liu
VLM
91
32
0
22 Sep 2023
Convergent regularization in inverse problems and linear plug-and-play
  denoisers
Convergent regularization in inverse problems and linear plug-and-play denoisers
A. Hauptmann
Subhadip Mukherjee
Carola-Bibiane Schönlieb
Ferdia Sherry
86
14
0
18 Jul 2023
Complexity of Block Coordinate Descent with Proximal Regularization and
  Applications to Wasserstein CP-dictionary Learning
Complexity of Block Coordinate Descent with Proximal Regularization and Applications to Wasserstein CP-dictionary Learning
Dohyun Kwon
Hanbaek Lyu
21
3
0
04 Jun 2023
DiffusionShield: A Watermark for Copyright Protection against Generative
  Diffusion Models
DiffusionShield: A Watermark for Copyright Protection against Generative Diffusion Models
Yingqian Cui
Jie Ren
Han Xu
Pengfei He
Hui Liu
Lichao Sun
Yue Xing
Jiliang Tang
WIGM
92
35
0
25 May 2023
Quantum Annealing for Single Image Super-Resolution
Quantum Annealing for Single Image Super-Resolution
Han Yao Choong
Suryansh Kumar
Luc Van Gool
54
4
0
18 Apr 2023
Toward Real-Time Image Annotation Using Marginalized Coupled Dictionary
  Learning
Toward Real-Time Image Annotation Using Marginalized Coupled Dictionary Learning
Seyed Mahdi Roostaiyan
M. Hosseini
Mahya Mohammadi Kashani
S. H. Amiri
38
6
0
14 Apr 2023
Audio Bank: A High-Level Acoustic Signal Representation for Audio Event
  Recognition
Audio Bank: A High-Level Acoustic Signal Representation for Audio Event Recognition
Tushar Sandhan
Sukanya Sonowal
J. Choi
28
8
0
11 Apr 2023
Convergence of alternating minimisation algorithms for dictionary
  learning
Convergence of alternating minimisation algorithms for dictionary learning
Simon Ruetz
Karin Schnass
85
0
0
04 Apr 2023
Cloud K-SVD for Image Denoising
Cloud K-SVD for Image Denoising
Christian Marius Lillelund
Henrik Bagger Jensen
Christian Fischer Pedersen
53
4
0
01 Mar 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
Hiding Data Helps: On the Benefits of Masking for Sparse Coding
Muthuraman Chidambaram
Chenwei Wu
Yu Cheng
Rong Ge
79
0
0
24 Feb 2023
Learning Large Scale Sparse Models
Learning Large Scale Sparse Models
A. Dhingra
Jie Shen
Nicholas Kleene
47
0
0
26 Jan 2023
Invariant Lipschitz Bandits: A Side Observation Approach
Invariant Lipschitz Bandits: A Side Observation Approach
Nam-Phuong Tran
Long Tran-Thanh
98
1
0
14 Dec 2022
Removing Rain Streaks via Task Transfer Learning
Removing Rain Streaks via Task Transfer Learning
Yinglong Wang
Chao Ma
Jianzhuang Liu
59
2
0
28 Aug 2022
Unitary Approximate Message Passing for Matrix Factorization
Unitary Approximate Message Passing for Matrix Factorization
Zhengdao Yuan
Qinghua Guo
Yonina C. Eldar
Yonghui Li
44
5
0
31 Jul 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen Ma
Zixuan Liu
Xue Liu
193
39
0
24 Jul 2022
Majorization-minimization for Sparse Nonnegative Matrix Factorization
  with the $β$-divergence
Majorization-minimization for Sparse Nonnegative Matrix Factorization with the βββ-divergence
Arthur Marmin
J. H. D. M. Goulart
Cédric Févotte
60
8
0
13 Jul 2022
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Mirror-Prox for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
78
0
0
23 Jun 2022
Supervised Dictionary Learning with Auxiliary Covariates
Supervised Dictionary Learning with Auxiliary Covariates
Joo-Hyun Lee
Hanbaek Lyu
W. Yao
64
1
0
14 Jun 2022
Dictionary-Based Fusion of Contact and Acoustic Microphones for Wind
  Noise Reduction
Dictionary-Based Fusion of Contact and Acoustic Microphones for Wind Noise Reduction
Marvin Tammen
Xilin Li
Simon Doclo
L. Theverapperuma
26
4
0
18 May 2022
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form
  Deep Neural Networks
Hybrid ISTA: Unfolding ISTA With Convergence Guarantees Using Free-Form Deep Neural Networks
Ziyang Zheng
Wenrui Dai
Duoduo Xue
Chenglin Li
Junni Zou
H. Xiong
93
18
0
25 Apr 2022
Convergence of First-Order Methods for Constrained Nonconvex
  Optimization with Dependent Data
Convergence of First-Order Methods for Constrained Nonconvex Optimization with Dependent Data
Ahmet Alacaoglu
Hanbaek Lyu
61
4
0
29 Mar 2022
Modality Competition: What Makes Joint Training of Multi-modal Network
  Fail in Deep Learning? (Provably)
Modality Competition: What Makes Joint Training of Multi-modal Network Fail in Deep Learning? (Provably)
Yu Huang
Junyang Lin
Chang Zhou
Hongxia Yang
Longbo Huang
66
97
0
23 Mar 2022
Interspace Pruning: Using Adaptive Filter Representations to Improve
  Training of Sparse CNNs
Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs
Paul Wimmer
Jens Mehnert
Alexandru Paul Condurache
CVBM
62
20
0
15 Mar 2022
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Low-Rank Extragradient Method for Nonsmooth and Low-Rank Matrix Optimization Problems
Dan Garber
Atara Kaplan
85
5
0
08 Feb 2022
Dictionary learning for clustering on hyperspectral images
Dictionary learning for clustering on hyperspectral images
Joshua Bruton
Hairong Wang
31
6
0
02 Feb 2022
Data Harmonisation for Information Fusion in Digital Healthcare: A
  State-of-the-Art Systematic Review, Meta-Analysis and Future Research
  Directions
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions
Yang Nan
Javier Del Ser
Simon Walsh
Carola Schönlieb
M. Roberts
...
Philippe Lambin
Leonor Cerdá Alberich
L. Martí-Bonmatí
Francisco Herrera
Guang Yang
95
109
0
17 Jan 2022
Stochastic regularized majorization-minimization with weakly convex and
  multi-convex surrogates
Stochastic regularized majorization-minimization with weakly convex and multi-convex surrogates
Hanbaek Lyu
49
3
0
05 Jan 2022
Associative Adversarial Learning Based on Selective Attack
Associative Adversarial Learning Based on Selective Attack
Runqi Wang
Xiaoyue Duan
Baochang Zhang
Shenjun Xue
Wentao Zhu
David Doermann
G. Guo
AAML
72
0
0
28 Dec 2021
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding
  problem
Dictionary-based Low-Rank Approximations and the Mixed Sparse Coding problem
Jérémy E. Cohen
47
0
0
24 Nov 2021
Discriminative Dictionary Learning based on Statistical Methods
Discriminative Dictionary Learning based on Statistical Methods
G. Madhuri
A. Negi
23
6
0
17 Nov 2021
On audio enhancement via online non-negative matrix factorization
On audio enhancement via online non-negative matrix factorization
A. Sack
Wenzhao Jiang
Michael Perlmutter
Palina Salanevich
Deanna Needell
48
4
0
07 Oct 2021
Is Attention Better Than Matrix Decomposition?
Is Attention Better Than Matrix Decomposition?
Zhengyang Geng
Meng-Hao Guo
Hongxu Chen
Xia Li
Ke Wei
Zhouchen Lin
123
142
0
09 Sep 2021
Robust Event Detection based on Spatio-Temporal Latent Action Unit using
  Skeletal Information
Robust Event Detection based on Spatio-Temporal Latent Action Unit using Skeletal Information
Hao Xing
Yuxuan Xue
Mingchuan Zhou
Darius Burschka
65
4
0
06 Sep 2021
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of
  Overparameterized Machine Learning
A Farewell to the Bias-Variance Tradeoff? An Overview of the Theory of Overparameterized Machine Learning
Yehuda Dar
Vidya Muthukumar
Richard G. Baraniuk
117
72
0
06 Sep 2021
Streaming data preprocessing via online tensor recovery for large
  environmental sensor networks
Streaming data preprocessing via online tensor recovery for large environmental sensor networks
Yue Hu
Ao Qu
Yanbing Wang
D. Work
50
8
0
01 Sep 2021
Bubblewrap: Online tiling and real-time flow prediction on neural
  manifolds
Bubblewrap: Online tiling and real-time flow prediction on neural manifolds
A. Draelos
Pranjal Gupta
Na Young Jun
Chaichontat Sriworarat
John M. Pearson
AI4CE
20
3
0
31 Aug 2021
Canonical Polyadic Decomposition and Deep Learning for Machine Fault
  Detection
Canonical Polyadic Decomposition and Deep Learning for Machine Fault Detection
Gaetan Frusque
Gabriel Michau
Olga Fink
41
7
0
20 Jul 2021
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