ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 0812.1869
  4. Cited By
Convex Sparse Matrix Factorizations

Convex Sparse Matrix Factorizations

10 December 2008
Francis R. Bach
Julien Mairal
Jean Ponce
ArXivPDFHTML

Papers citing "Convex Sparse Matrix Factorizations"

45 / 45 papers shown
Title
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
Colin Dirren
Mattia Bianchi
Panagiotis D. Grontas
John Lygeros
Florian Dorfler
36
0
0
18 Oct 2024
LoRA Training in the NTK Regime has No Spurious Local Minima
LoRA Training in the NTK Regime has No Spurious Local Minima
Uijeong Jang
Jason D. Lee
Ernest K. Ryu
39
13
0
19 Feb 2024
First Order Methods with Markovian Noise: from Acceleration to
  Variational Inequalities
First Order Methods with Markovian Noise: from Acceleration to Variational Inequalities
Aleksandr Beznosikov
S. Samsonov
Marina Sheshukova
Alexander Gasnikov
A. Naumov
Eric Moulines
32
14
0
25 May 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
18
0
0
24 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient
  Communications for Distributed Variational Inequalities
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities
Aleksandr Beznosikov
Martin Takáč
Alexander Gasnikov
21
10
0
15 Feb 2023
Smooth Monotone Stochastic Variational Inequalities and Saddle Point
  Problems: A Survey
Smooth Monotone Stochastic Variational Inequalities and Saddle Point Problems: A Survey
Aleksandr Beznosikov
Boris Polyak
Eduard A. Gorbunov
D. Kovalev
Alexander Gasnikov
32
31
0
29 Aug 2022
Compression and Data Similarity: Combination of Two Techniques for
  Communication-Efficient Solving of Distributed Variational Inequalities
Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities
Aleksandr Beznosikov
Alexander Gasnikov
16
10
0
19 Jun 2022
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
Optimal Algorithms for Decentralized Stochastic Variational Inequalities
D. Kovalev
Aleksandr Beznosikov
Abdurakhmon Sadiev
Michael Persiianov
Peter Richtárik
Alexander Gasnikov
35
34
0
06 Feb 2022
Robust Generalization of Quadratic Neural Networks via Function
  Identification
Robust Generalization of Quadratic Neural Networks via Function Identification
Kan Xu
Hamsa Bastani
Osbert Bastani
OOD
26
8
0
22 Sep 2021
Decentralized Distributed Optimization for Saddle Point Problems
Decentralized Distributed Optimization for Saddle Point Problems
Alexander Rogozin
Alexander Beznosikov
D. Dvinskikh
D. Kovalev
Pavel Dvurechensky
Alexander Gasnikov
26
27
0
15 Feb 2021
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse
  in Imbalanced Training
Exploring Deep Neural Networks via Layer-Peeled Model: Minority Collapse in Imbalanced Training
Cong Fang
Hangfeng He
Qi Long
Weijie J. Su
FAtt
122
165
0
29 Jan 2021
The Nonconvex Geometry of Linear Inverse Problems
The Nonconvex Geometry of Linear Inverse Problems
Armin Eftekhari
Peyman Mohajerin Esfahani
13
1
0
07 Jan 2021
An $O(s^r)$-Resolution ODE Framework for Understanding Discrete-Time
  Algorithms and Applications to the Linear Convergence of Minimax Problems
An O(sr)O(s^r)O(sr)-Resolution ODE Framework for Understanding Discrete-Time Algorithms and Applications to the Linear Convergence of Minimax Problems
Haihao Lu
12
6
0
23 Jan 2020
Machine Learning from a Continuous Viewpoint
Machine Learning from a Continuous Viewpoint
E. Weinan
Chao Ma
Lei Wu
21
102
0
30 Dec 2019
On Universal Features for High-Dimensional Learning and Inference
On Universal Features for High-Dimensional Learning and Inference
Shao-Lun Huang
A. Makur
G. Wornell
Lizhong Zheng
16
53
0
20 Nov 2019
A Stochastic Proximal Point Algorithm for Saddle-Point Problems
A Stochastic Proximal Point Algorithm for Saddle-Point Problems
Luo Luo
Cheng Chen
Yujun Li
Guangzeng Xie
Zhihua Zhang
14
16
0
13 Sep 2019
Online Convex Matrix Factorization with Representative Regions
Online Convex Matrix Factorization with Representative Regions
Abhishek Agarwal
Jianhao Peng
O. Milenkovic
11
2
0
04 Apr 2019
Recovery Guarantees for Quadratic Tensors with Sparse Observations
Recovery Guarantees for Quadratic Tensors with Sparse Observations
Hongyang R. Zhang
Vatsal Sharan
Moses Charikar
Yingyu Liang
8
2
0
31 Oct 2018
Global Optimality in Separable Dictionary Learning with Applications to
  the Analysis of Diffusion MRI
Global Optimality in Separable Dictionary Learning with Applications to the Analysis of Diffusion MRI
Evan Schwab
B. Haeffele
René Vidal
N. Charon
OOD
MedIm
19
2
0
15 Jul 2018
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave
  Saddle Point Problems without Strong Convexity
Linear Convergence of the Primal-Dual Gradient Method for Convex-Concave Saddle Point Problems without Strong Convexity
S. Du
Wei Hu
53
120
0
05 Feb 2018
Dropout as a Low-Rank Regularizer for Matrix Factorization
Dropout as a Low-Rank Regularizer for Matrix Factorization
Jacopo Cavazza
Pietro Morerio
B. Haeffele
Connor Lane
Vittorio Murino
René Vidal
18
41
0
13 Oct 2017
An Analysis of Dropout for Matrix Factorization
An Analysis of Dropout for Matrix Factorization
Jacopo Cavazza
Connor Lane
B. Haeffele
Vittorio Murino
René Vidal
14
2
0
10 Oct 2017
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms,
  and Applications
Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications
B. Haeffele
René Vidal
30
67
0
25 Aug 2017
Learning Sparse Representations in Reinforcement Learning with Sparse
  Coding
Learning Sparse Representations in Reinforcement Learning with Sparse Coding
Lei Le
Raksha Kumaraswamy
Martha White
OffRL
SSL
12
25
0
26 Jul 2017
Matrix Completion and Related Problems via Strong Duality
Matrix Completion and Related Problems via Strong Duality
Maria-Florina Balcan
Yingyu Liang
David P. Woodruff
Hongyang R. Zhang
19
8
0
27 Apr 2017
Stochastic Variance Reduction Methods for Saddle-Point Problems
Stochastic Variance Reduction Methods for Saddle-Point Problems
B. Palaniappan
Francis R. Bach
10
210
0
20 May 2016
Pursuits in Structured Non-Convex Matrix Factorizations
Pursuits in Structured Non-Convex Matrix Factorizations
Rajiv Khanna
Michael Tschannen
Martin Jaggi
18
1
0
12 Feb 2016
Linear Shape Deformation Models with Local Support Using Graph-based
  Structured Matrix Factorisation
Linear Shape Deformation Models with Local Support Using Graph-based Structured Matrix Factorisation
Florian Bernard
P. Gemmar
F. Hertel
Jorge M. Gonçalves
J. Thunberg
32
16
0
28 Oct 2015
On the Minimax Risk of Dictionary Learning
On the Minimax Risk of Dictionary Learning
A. Jung
Yonina C. Eldar
N. Goertz
14
35
0
20 Jul 2015
Convex Factorization Machine for Regression
Convex Factorization Machine for Regression
M. Yamada
Wenzhao Lian
Amit Goyal
Jianhui Chen
Kishan Wimalawarne
Suleiman A. Khan
Samuel Kaski
Hiroshi Mamitsuka
Yi Chang
37
4
0
04 Jul 2015
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
B. Haeffele
René Vidal
24
151
0
24 Jun 2015
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and
  Applications
Partial Sum Minimization of Singular Values in Robust PCA: Algorithm and Applications
Tae-Hyun Oh
Yu-Wing Tai
Jean-Charles Bazin
Hyeongwoo Kim
In So Kweon
27
221
0
04 Mar 2015
1-Bit Matrix Completion under Exact Low-Rank Constraint
1-Bit Matrix Completion under Exact Low-Rank Constraint
S. Bhaskar
Adel Javanmard
34
50
0
24 Feb 2015
Generalized Conditional Gradient for Sparse Estimation
Generalized Conditional Gradient for Sparse Estimation
Yaoliang Yu
Xinhua Zhang
Dale Schuurmans
32
78
0
17 Oct 2014
Tight convex relaxations for sparse matrix factorization
Tight convex relaxations for sparse matrix factorization
E. Richard
G. Obozinski
Jean-Philippe Vert
45
43
0
19 Jul 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
35
95
0
19 Jul 2014
Online Optimization for Large-Scale Max-Norm Regularization
Online Optimization for Large-Scale Max-Norm Regularization
Jie Shen
Huan Xu
P. Li
50
0
0
12 Jun 2014
Matrix factorization with Binary Components
Matrix factorization with Binary Components
M. Slawski
Matthias Hein
P. Lutsik
47
41
0
23 Jan 2014
Convex relaxations of structured matrix factorizations
Convex relaxations of structured matrix factorizations
Francis R. Bach
36
38
0
12 Sep 2013
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
96
49
0
02 Oct 2012
Convex Coding
Convex Coding
David M. Bradley
J. Andrew Bagnell
53
26
0
09 May 2012
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
74
323
0
12 Sep 2011
Optimization with Sparsity-Inducing Penalties
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
74
1,055
0
03 Aug 2011
Structured Sparse Principal Component Analysis
Structured Sparse Principal Component Analysis
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
98
352
0
08 Sep 2009
Online Learning for Matrix Factorization and Sparse Coding
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
91
2,611
0
01 Aug 2009
1