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1110.0413
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Group Lasso with Overlaps: the Latent Group Lasso approach
3 October 2011
G. Obozinski
Laurent Jacob
Jean-Philippe Vert
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Papers citing
"Group Lasso with Overlaps: the Latent Group Lasso approach"
48 / 48 papers shown
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
Félix Vandervorst
Bruno Deprez
Wouter Verbeke
Tim Verdonck
AI4CE
145
0
0
07 Oct 2025
Subspace decompositions for association structure learning in multivariate categorical response regression
Hongru Zhao
Aaron J. Molstad
Adam J. Rothman
249
0
0
06 Oct 2024
Adaptive Block Sparse Regularization under Arbitrary Linear Transform
European Signal Processing Conference (EUSIPCO), 2024
Takanobu Furuhashi
H. Hontani
Tatsuya Yokota
457
2
0
27 Jan 2024
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
399
8
0
21 Jun 2023
Structural Explanations for Graph Neural Networks using HSIC
Ayato Toyokuni
Makoto Yamada
283
3
0
04 Feb 2023
Smooth over-parameterized solvers for non-smooth structured optimization
Mathematical programming (Math. Program.), 2022
C. Poon
Gabriel Peyré
332
23
0
03 May 2022
Bayesian Adaptive Selection of Basis Functions for Functional Data Representation
Journal of Applied Statistics (J. Appl. Stat.), 2022
P. H. T. O. Sousa
Camila P. E. de Souza
Ronaldo Dias
209
10
0
06 Apr 2022
Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos
Geonu Lee
Kimin Yun
Jungchan Cho
332
3
0
17 Oct 2021
Survival Analysis with Graph-Based Regularization for Predictors
Statistics in Biosciences (Stat. Biosci.), 2021
Liyan Xie
Xi He
P. Keskinocak
Yao Xie
279
0
0
29 Aug 2021
Distributionally Robust Learning
Ruidi Chen
I. Paschalidis
OOD
447
77
0
20 Aug 2021
Screening for a Reweighted Penalized Conditional Gradient Method
Yifan Sun
Francis R. Bach
234
0
0
02 Jul 2021
Group selection and shrinkage: Structured sparsity for semiparametric additive models
Journal of Computational And Graphical Statistics (JCGS), 2021
Ryan Thompson
Farshid Vahid
437
3
0
25 May 2021
A likelihood-based approach for multivariate categorical response regression in high dimensions
Journal of the American Statistical Association (JASA), 2020
Aaron J. Molstad
Adam J. Rothman
371
7
0
15 Jul 2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization
Journal of Optimization Theory and Applications (JOTA), 2020
Ruidi Chen
I. Paschalidis
OOD
394
3
0
10 Jun 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
563
2
0
10 Jan 2020
Estimating Sparse Networks with Hubs
Annaliza McGillivray
Abbas Khalili
D. Stephens
278
6
0
20 Apr 2019
Group-sparse SVD Models and Their Applications in Biological Data
Wenwen Min
Juan Liu
Shihua Zhang
315
3
0
28 Jul 2018
Orthogonal Matching Pursuit for Text Classification
Konstantinos Skianis
Nikolaos Tziortziotis
Michalis Vazirgiannis
VLM
272
4
0
12 Jul 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method
Gauthier Gidel
Fabian Pedregosa
Damien Scieur
230
31
0
09 Apr 2018
Frank-Wolfe with Subsampling Oracle
Thomas Kerdreux
Fabian Pedregosa
Alexandre d’Aspremont
186
20
0
20 Mar 2018
Combinatorial Penalties: Which structures are preserved by convex relaxations?
Marwa El Halabi
Francis R. Bach
Volkan Cevher
339
17
0
17 Oct 2017
Graph-Guided Banding of the Covariance Matrix
Journal of the American Statistical Association (JASA), 2016
Jacob Bien
269
6
0
01 Jun 2016
Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach
M. Ahsen
M. Vidyasagar
240
36
0
29 Dec 2015
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations
Xiaohan Yan
Jacob Bien
544
50
0
05 Dec 2015
Structured Sparsity: Discrete and Convex approaches
Anastasios Kyrillidis
Luca Baldassarre
Marwa El Halabi
Quoc Tran-Dinh
Volkan Cevher
198
29
0
20 Jul 2015
A totally unimodular view of structured sparsity
International Conference on Artificial Intelligence and Statistics (AISTATS), 2014
Marwa El Halabi
Volkan Cevher
479
31
0
07 Nov 2014
Two New Approaches to Compressed Sensing Exhibiting Both Robust Sparse Recovery and the Grouping Effect
M. Ahsen
Niharika Challapalli
M. Vidyasagar
365
0
0
30 Oct 2014
Sparse Partially Linear Additive Models
Yin Lou
Jacob Bien
R. Caruana
J. Gehrke
445
60
0
17 Jul 2014
Machine Learning Methods in the Computational Biology of Cancer
Proceedings of the Royal Society A (Proc. R. Soc. A), 2014
M. Vidyasagar
399
40
0
24 Feb 2014
Classification with Sparse Overlapping Groups
Nikhil S. Rao
Robert D. Nowak
Christopher R. Cox
Timothy T. Rogers
415
7
0
18 Feb 2014
Near-Ideal Behavior of Compressed Sensing Algorithms
IEEE Conference on Decision and Control (CDC), 2014
M. Ahsen
M. Vidyasagar
409
3
0
26 Jan 2014
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis
Neural Information Processing Systems (NeurIPS), 2013
Nikhil S. Rao
Christopher R. Cox
Robert D. Nowak
Timothy T. Rogers
363
72
0
20 Nov 2013
The geometry of least squares in the 21st century
Jonathan E. Taylor
308
8
0
30 Sep 2013
Compressed Sensing for Block-Sparse Smooth Signals
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013
S. Gishkori
G. Leus
201
13
0
10 Sep 2013
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Akshay Soni
Jarvis Haupt
363
22
0
18 Jun 2013
Translation-Invariant Shrinkage/Thresholding of Group Sparse Signals
Signal Processing (Signal Process.), 2013
Po-Yu Chen
I. Selesnick
360
106
0
29 Mar 2013
Convex Tensor Decomposition via Structured Schatten Norm Regularization
Neural Information Processing Systems (NeurIPS), 2013
Ryota Tomioka
Taiji Suzuki
290
152
0
26 Mar 2013
Node-Based Learning of Multiple Gaussian Graphical Models
Journal of machine learning research (JMLR), 2013
Karthika Mohan
Palma London
Maryam Fazel
Daniela Witten
Su-In Lee
565
212
0
21 Mar 2013
Group-Sparse Model Selection: Hardness and Relaxations
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2013
Luca Baldassarre
Nirav Bhan
Volkan Cevher
Anastasios Kyrillidis
Siddhartha Satpathi
292
35
0
13 Mar 2013
Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging
Nikhil S. Rao
Benjamin Recht
Robert D. Nowak
208
19
0
14 Sep 2012
Proximal methods for the latent group lasso penalty
Computational optimization and applications (COA), 2012
S. Villa
Lorenzo Rosasco
S. Mosci
A. Verri
277
38
0
03 Sep 2012
A lasso for hierarchical interactions
Annals of Statistics (Ann. Stat.), 2012
Jacob Bien
Jonathan E. Taylor
Robert Tibshirani
906
511
0
22 May 2012
Convex Relaxation for Combinatorial Penalties
G. Obozinski
Francis R. Bach
334
62
0
06 May 2012
Learning a Common Substructure of Multiple Graphical Gaussian Models
Neural Networks (NN), 2012
Satoshi Hara
Takashi Washio
CML
629
35
0
01 Mar 2012
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
737
338
0
12 Sep 2011
Optimization with Sparsity-Inducing Penalties
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
875
1,079
0
03 Aug 2011
Structured Sparsity via Alternating Direction Methods
Zhiwei Qin
Shiqian Ma
396
75
0
04 May 2011
Structured sparsity-inducing norms through submodular functions
Francis R. Bach
549
198
0
25 Aug 2010
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