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Proximal Methods for Hierarchical Sparse Coding
11 September 2010
Rodolphe Jenatton
Julien Mairal
G. Obozinski
Francis R. Bach
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Papers citing
"Proximal Methods for Hierarchical Sparse Coding"
50 / 88 papers shown
Subspace decompositions for association structure learning in multivariate categorical response regression
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James Wilken-Smith
Tomáš Dulka
Hardik Bhatnagar
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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
367
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Structured Learning in Time-dependent Cox Models
Statistics in Medicine (Stat Med), 2023
Guanbo Wang
Yimin Lian
Archer Y. Yang
Robert W. Platt
Rui Wang
S. Perreault
M. Dorais
M. Schnitzer
358
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21 Jun 2023
The non-overlapping statistical approximation to overlapping group lasso
Journal of machine learning research (JMLR), 2022
Mingyu Qi
Tianxi Li
425
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16 Nov 2022
Positive Feature Values Prioritized Hierarchical Redundancy Eliminated Tree Augmented Naive Bayes Classifier for Hierarchical Feature Spaces
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
Cen Wan
188
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0
12 Apr 2022
Hierarchical Dependency Constrained Tree Augmented Naive Bayes Classifiers for Hierarchical Feature Spaces
Cen Wan
A. Freitas
TPM
287
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0
08 Feb 2022
Exclusive Group Lasso for Structured Variable Selection
D. Gregoratti
Xavier Mestre
Carlos Buelga
279
4
0
23 Aug 2021
Convex Latent Effect Logit Model via Sparse and Low-rank Decomposition
Hongyuan Zhan
Kamesh Madduri
V. Shankar
179
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22 Aug 2021
Stable and Interpretable Unrolled Dictionary Learning
Bahareh Tolooshams
Demba E. Ba
537
22
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31 May 2021
Safe Screening Rules for Generalized Double Sparsity Learning
Xinyu Zhang
219
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0
11 Jun 2020
Fitting ARMA Time Series Models without Identification: A Proximal Approach
International Conference on Artificial Intelligence and Statistics (AISTATS), 2020
Yin Liu
S. Tajbakhsh
296
3
0
17 Feb 2020
Supervised Quantile Normalization for Low-rank Matrix Approximation
Marco Cuturi
O. Teboul
Jonathan Niles-Weed
Jean-Philippe Vert
289
4
0
08 Feb 2020
Fast reconstruction of atomic-scale STEM-EELS images from sparse sampling
Étienne Monier
Thomas Oberlin
N. Brun
Xiaoyan Li
M. Tencé
N. Dobigeon
232
17
0
04 Feb 2020
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure
INFORMS journal on computing (INFORMS J. Comput.), 2020
Dewei Zhang
Yin Liu
S. Tajbakhsh
515
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0
10 Jan 2020
Sparse and redundant signal representations for x-ray computed tomography
Davood Karimi
MedIm
213
1
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06 Dec 2019
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2019
Junpeng Zhang
Wenxuan Wang
Jiankun Hu
202
58
0
26 Aug 2019
Matrix Cofactorization for Joint Representation Learning and Supervised Classification -- Application to Hyperspectral Image Analysis
A. Lagrange
M. Fauvel
S. May
J. Bioucas-Dias
N. Dobigeon
279
2
0
07 Feb 2019
Learning Hierarchical Interactions at Scale: A Convex Optimization Approach
Hussein Hazimeh
Rahul Mazumder
578
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05 Feb 2019
An Efficient Privacy-Preserving Algorithm based on Randomized Response in IoT-based Smart Grid
Huirui Cao
Shubo Liu
Zhitao Guan
Longfei Wu
Haonan Deng
Xiaojiang Du
151
10
0
09 Apr 2018
Neural Granger Causality
Alex Tank
Ian Covert
N. Foti
Ali Shojaie
E. Fox
CML
313
102
0
16 Feb 2018
Combinatorial Penalties: Which structures are preserved by convex relaxations?
Marwa El Halabi
Francis R. Bach
Volkan Cevher
276
17
0
17 Oct 2017
Shapelet-based Sparse Representation for Landcover Classification of Hyperspectral Images
R. Roscher
B. Waske
206
35
0
20 Aug 2017
Tackling Over-pruning in Variational Autoencoders
Serena Yeung
A. Kannan
Yann N. Dauphin
Li Fei-Fei
DRL
449
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0
09 Jun 2017
Sparse hierarchical interaction learning with epigraphical projection
Mingyuan Jiu
N. Pustelnik
Stefan Janaqi
M. Chèbre
Lin Qi
P. Ricoux
314
1
0
22 May 2017
On The Projection Operator to A Three-view Cardinality Constrained Set
Haichuan Yang
Shupeng Gui
Chuyang Ke
Daniel Stefankovic
R. Fujimaki
Ji Liu
217
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0
21 Mar 2017
BigVAR: Tools for Modeling Sparse High-Dimensional Multivariate Time Series
William B. Nicholson
David S. Matteson
Jacob Bien
294
23
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23 Feb 2017
Neurogenesis-Inspired Dictionary Learning: Online Model Adaption in a Changing World
International Joint Conference on Artificial Intelligence (IJCAI), 2017
S. Garg
Irina Rish
Guillermo Cecchi
A. Lozano
OffRL
CLL
314
6
0
22 Jan 2017
Gap Safe screening rules for sparsity enforcing penalties
Eugène Ndiaye
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
416
131
0
17 Nov 2016
Alternating Estimation for Structured High-Dimensional Multi-Response Models
Neural Information Processing Systems (NeurIPS), 2016
Sheng Chen
A. Banerjee
241
15
0
29 Jun 2016
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity
Quanming Yao
James T. Kwok
252
58
0
13 Jun 2016
GAP Safe Screening Rules for Sparse-Group-Lasso
Eugène Ndiaye
Olivier Fercoq
Alexandre Gramfort
Joseph Salmon
343
62
0
19 Feb 2016
Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach
M. Ahsen
M. Vidyasagar
190
36
0
29 Dec 2015
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
Xiaohan Yan
Jacob Bien
513
50
0
05 Dec 2015
Bayesian Variable Selection and Estimation for Group Lasso
Xiaofang Xu
M. Ghosh
BDL
333
169
0
03 Dec 2015
Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions
Yoshinobu Kawahara
Y. Yamaguchi
143
0
0
14 Sep 2015
Structured Sparsity: Discrete and Convex approaches
Anastasios Kyrillidis
Luca Baldassarre
Marwa El Halabi
Quoc Tran-Dinh
Volkan Cevher
167
29
0
20 Jul 2015
A linear approach for sparse coding by a two-layer neural network
A. Montalto
G. Tessitore
R. Prevete
200
7
0
06 Jul 2015
A Flexible and Efficient Algorithmic Framework for Constrained Matrix and Tensor Factorization
IEEE Transactions on Signal Processing (IEEE TSP), 2015
Kejun Huang
N. Sidiropoulos
A. Liavas
266
182
0
13 Jun 2015
Learning the Structure for Structured Sparsity
N. Shervashidze
Francis R. Bach
CML
268
23
0
10 Mar 2015
Image classification by visual bag-of-words refinement and reduction
Zhiwu Lu
Liwei Wang
Ji-Rong Wen
167
29
0
18 Jan 2015
Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction
Chen Chen
Junzhou Huang
Lei He
Hongsheng Li
337
8
0
18 Nov 2014
Group Regularized Estimation under Structural Hierarchy
Yiyuan She
Zhifeng Wang
He Jiang
376
50
0
17 Nov 2014
Sparse Modeling for Image and Vision Processing
Foundations and Trends in Computer Graphics and Vision (FTCGV), 2014
Julien Mairal
Francis R. Bach
Jean Ponce
VLM
362
502
0
12 Nov 2014
A totally unimodular view of structured sparsity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2014
Marwa El Halabi
Volkan Cevher
428
31
0
07 Nov 2014
Convex Optimization for Big Data
IEEE Signal Processing Magazine (SPM), 2014
Volkan Cevher
Stephen Becker
Mark Schmidt
233
307
0
04 Nov 2014
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect
M. Ahsen
Niharika Challapalli
M. Vidyasagar
323
0
0
30 Oct 2014
Generalized Conditional Gradient for Sparse Estimation
Yaoliang Yu
Xinhua Zhang
Dale Schuurmans
279
80
0
17 Oct 2014
Sparse and spurious: dictionary learning with noise and outliers
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2014
Rémi Gribonval
Rodolphe Jenatton
Francis R. Bach
450
99
0
19 Jul 2014
On the Convergence Rate of Decomposable Submodular Function Minimization
Neural Information Processing Systems (NeurIPS), 2014
Robert Nishihara
Stefanie Jegelka
Sai Li
295
44
0
25 Jun 2014
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