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. 1009.2139
  4. Cited By
Proximal Methods for Hierarchical Sparse Coding

Proximal Methods for Hierarchical Sparse Coding

11 September 2010
Rodolphe Jenatton
Julien Mairal
G. Obozinski
Francis R. Bach
ArXivPDFHTML

Papers citing "Proximal Methods for Hierarchical Sparse Coding"

29 / 29 papers shown
Title
Double Variance Reduction: A Smoothing Trick for Composite Optimization
  Problems without First-Order Gradient
Double Variance Reduction: A Smoothing Trick for Composite Optimization Problems without First-Order Gradient
Hao Di
Haishan Ye
Yueling Zhang
Xiangyu Chang
Guang Dai
Ivor W. Tsang
42
1
0
28 May 2024
The non-overlapping statistical approximation to overlapping group lasso
The non-overlapping statistical approximation to overlapping group lasso
Mingyu Qi
Tianxi Li
20
2
0
16 Nov 2022
Positive Feature Values Prioritized Hierarchical Redundancy Eliminated
  Tree Augmented Naive Bayes Classifier for Hierarchical Feature Spaces
Positive Feature Values Prioritized Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Hierarchical Feature Spaces
Cen Wan
21
2
0
12 Apr 2022
Hierarchical Dependency Constrained Tree Augmented Naive Bayes
  Classifiers for Hierarchical Feature Spaces
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces
Cen Wan
A. Freitas
TPM
20
2
0
08 Feb 2022
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
Hongyuan Zhan
Kamesh Madduri
V. Shankar
12
0
0
22 Aug 2021
Error Bounded Foreground and Background Modeling for Moving Object
  Detection in Satellite Videos
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos
Junpeng Zhang
Wenxuan Wang
Jiankun Hu
32
49
0
26 Aug 2019
Neural Granger Causality
Neural Granger Causality
Alex Tank
Ian Covert
N. Foti
Ali Shojaie
E. Fox
CML
31
100
0
16 Feb 2018
On The Projection Operator to A Three-view Cardinality Constrained Set
On The Projection Operator to A Three-view Cardinality Constrained Set
Haichuan Yang
Shupeng Gui
Chuyang Ke
Daniel Stefankovic
R. Fujimaki
Ji Liu
15
0
0
21 Mar 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a
  Changing World
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
S. Garg
Irina Rish
Guillermo Cecchi
A. Lozano
OffRL
CLL
33
6
0
22 Jan 2017
GAP Safe Screening Rules for Sparse-Group-Lasso
GAP Safe Screening Rules for Sparse-Group-Lasso
Eugène Ndiaye
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
31
59
0
19 Feb 2016
Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A
  Unified Approach
Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach
M. Ahsen
M. Vidyasagar
22
35
0
29 Dec 2015
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
Xiaohan Yan
Jacob Bien
19
47
0
05 Dec 2015
Group Regularized Estimation under Structural Hierarchy
Group Regularized Estimation under Structural Hierarchy
Yiyuan She
Zhifeng Wang
He Jiang
56
47
0
17 Nov 2014
Sparse Modeling for Image and Vision Processing
Sparse Modeling for Image and Vision Processing
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
47
488
0
12 Nov 2014
Forward - Backward Greedy Algorithms for Atomic Norm Regularization
Forward - Backward Greedy Algorithms for Atomic Norm Regularization
Nikhil S. Rao
P. Shah
Stephen J. Wright
33
90
0
23 Apr 2014
Machine Learning Methods in the Computational Biology of Cancer
Machine Learning Methods in the Computational Biology of Cancer
M. Vidyasagar
49
37
0
24 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
46
85
0
13 Dec 2013
Semi-Supervised Sparse Coding
Semi-Supervised Sparse Coding
Jim Jing-Yan Wang
Xin Gao
50
16
0
26 Nov 2013
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy
  Linear Measurements
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
Akshay Soni
Jarvis Haupt
56
22
0
18 Jun 2013
Towards Ultrahigh Dimensional Feature Selection for Big Data
Towards Ultrahigh Dimensional Feature Selection for Big Data
Mingkui Tan
Ivor W. Tsang
Li Wang
56
154
0
24 Sep 2012
Convex Relaxation for Combinatorial Penalties
Convex Relaxation for Combinatorial Penalties
G. Obozinski
Francis R. Bach
59
62
0
06 May 2012
Learning Hierarchical and Topographic Dictionaries with Structured
  Sparsity
Learning Hierarchical and Topographic Dictionaries with Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
39
18
0
20 Oct 2011
Group Lasso with Overlaps: the Latent Group Lasso approach
Group Lasso with Overlaps: the Latent Group Lasso approach
G. Obozinski
Laurent Jacob
Jean-Philippe Vert
94
181
0
03 Oct 2011
Convergence Rates of Inexact Proximal-Gradient Methods for Convex
  Optimization
Convergence Rates of Inexact Proximal-Gradient Methods for Convex Optimization
Mark Schmidt
Nicolas Le Roux
Francis R. Bach
38
580
0
12 Sep 2011
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
82
323
0
12 Sep 2011
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Rodolphe Jenatton
Alexandre Gramfort
V. Michel
G. Obozinski
Evelyn Eger
Francis R. Bach
B. Thirion
69
127
0
02 May 2011
Convex and Network Flow Optimization for Structured Sparsity
Convex and Network Flow Optimization for Structured Sparsity
Julien Mairal
Rodolphe Jenatton
G. Obozinski
Francis R. Bach
62
109
0
11 Apr 2011
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework
Pablo Sprechmann
Ignacio Francisco Ramírez Paulino
Guillermo Sapiro
Yonina C. Eldar
76
187
0
07 Jun 2010
Structured Variable Selection with Sparsity-Inducing Norms
Structured Variable Selection with Sparsity-Inducing Norms
Rodolphe Jenatton
Jean-Yves Audibert
Francis R. Bach
96
605
0
22 Apr 2009
1