Group Lasso with Overlaps: the Latent Group Lasso approach

3 October 2011

Papers citing "Group Lasso with Overlaps: the Latent Group Lasso approach"

50 / 50 papers shown

Title
Subspace decompositions for association structure learning in multivariate categorical response regression Hongru Zhao Aaron J. Molstad Adam J. Rothman 18 0 0 06 Oct 2024
Adaptive Block Sparse Regularization under Arbitrary Linear Transform Takanobu Furuhashi H. Hontani Tatsuya Yokota 25 0 0 27 Jan 2024
Structured Learning in Time-dependent Cox Models Guanbo Wang Yimin Lian Archer Y. Yang Robert W. Platt Rui Wang S. Perreault M. Dorais M. Schnitzer 16 2 0 21 Jun 2023
Structural Explanations for Graph Neural Networks using HSIC Ayato Toyokuni Makoto Yamada 21 1 0 04 Feb 2023
Smooth over-parameterized solvers for non-smooth structured optimization C. Poon Gabriel Peyré 24 18 0 03 May 2022
Bayesian Adaptive Selection of Basis Functions for Functional Data Representation P. H. T. O. Sousa Camila P. E. de Souza Ronaldo Dias 14 9 0 06 Apr 2022
Robust Pedestrian Attribute Recognition Using Group Sparsity for Occlusion Videos Geonu Lee Kimin Yun Jungchan Cho 38 2 0 17 Oct 2021
Survival Analysis with Graph-Based Regularization for Predictors Liyan Xie Xi He P. Keskinocak Yao Xie 17 0 0 29 Aug 2021
Distributionally Robust Learning Ruidi Chen I. Paschalidis OOD 25 65 0 20 Aug 2021
Screening for a Reweighted Penalized Conditional Gradient Method Yifan Sun Francis R. Bach 18 0 0 02 Jul 2021
Group selection and shrinkage: Structured sparsity for semiparametric additive models Ryan Thompson Farshid Vahid 13 1 0 25 May 2021
A likelihood-based approach for multivariate categorical response regression in high dimensions Aaron J. Molstad Adam J. Rothman 11 6 0 15 Jul 2020
Robust Grouped Variable Selection Using Distributionally Robust Optimization Ruidi Chen I. Paschalidis OOD 13 3 0 10 Jun 2020
A first-order optimization algorithm for statistical learning with hierarchical sparsity structure Dewei Zhang Yin Liu S. Tajbakhsh 11 2 0 10 Jan 2020
Estimating Sparse Networks with Hubs Annaliza McGillivray Abbas Khalili D. Stephens 11 5 0 20 Apr 2019
Group-sparse SVD Models and Their Applications in Biological Data Wenwen Min Juan Liu Shihua Zhang 16 3 0 28 Jul 2018
Orthogonal Matching Pursuit for Text Classification Konstantinos Skianis Nikolaos Tziortziotis Michalis Vazirgiannis VLM 11 4 0 12 Jul 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method Gauthier Gidel Fabian Pedregosa Simon Lacoste-Julien 17 29 0 09 Apr 2018
Frank-Wolfe with Subsampling Oracle Thomas Kerdreux Fabian Pedregosa Alexandre d’Aspremont 17 18 0 20 Mar 2018
Combinatorial Penalties: Which structures are preserved by convex relaxations? Marwa El Halabi Francis R. Bach V. Cevher 19 16 0 17 Oct 2017
Graph-Guided Banding of the Covariance Matrix Jacob Bien 11 6 0 01 Jun 2016
Error Bounds for Compressed Sensing Algorithms With Group Sparsity: A Unified Approach M. Ahsen M. Vidyasagar 17 35 0 29 Dec 2015
Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations Xiaohan Yan Jacob Bien 11 47 0 05 Dec 2015
Structured Sparsity: Discrete and Convex approaches Anastasios Kyrillidis Luca Baldassarre Marwa El Halabi Quoc Tran-Dinh V. Cevher 21 27 0 20 Jul 2015
A totally unimodular view of structured sparsity Marwa El Halabi V. Cevher 32 30 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 27 0 0 30 Oct 2014
Sparse Partially Linear Additive Models Yin Lou Jacob Bien R. Caruana J. Gehrke 38 57 0 17 Jul 2014
Machine Learning Methods in the Computational Biology of Cancer M. Vidyasagar 37 37 0 24 Feb 2014
Classification with Sparse Overlapping Groups Nikhil S. Rao Robert D. Nowak Christopher R. Cox Timothy Rogers 36 7 0 18 Feb 2014
Near-Ideal Behavior of Compressed Sensing Algorithms M. Ahsen M. Vidyasagar 37 3 0 26 Jan 2014
Sparse Overlapping Sets Lasso for Multitask Learning and its Application to fMRI Analysis Nikhil S. Rao Christopher R. Cox Robert D. Nowak Timothy Rogers 51 72 0 20 Nov 2013
The geometry of least squares in the 21st century Jonathan E. Taylor 31 8 0 30 Sep 2013
Compressed Sensing for Block-Sparse Smooth Signals S. Gishkori G. Leus 40 13 0 10 Sep 2013
On the Fundamental Limits of Recovering Tree Sparse Vectors from Noisy Linear Measurements Akshay Soni Jarvis D. Haupt 51 22 0 18 Jun 2013
Translation-Invariant Shrinkage/Thresholding of Group Sparse Signals Po-Yu Chen I. Selesnick 30 102 0 29 Mar 2013
Convex Tensor Decomposition via Structured Schatten Norm Regularization Ryota Tomioka Taiji Suzuki 33 152 0 26 Mar 2013
Node-Based Learning of Multiple Gaussian Graphical Models Karthika Mohan Palma London Maryam Fazel Daniela Witten Su-In Lee 34 206 0 21 Mar 2013
Group-Sparse Model Selection: Hardness and Relaxations Luca Baldassarre Nirav Bhan V. Cevher Anastasios Kyrillidis Siddhartha Satpathi 40 35 0 13 Mar 2013
Signal Recovery in Unions of Subspaces with Applications to Compressive Imaging Nikhil S. Rao Benjamin Recht Robert D. Nowak 42 19 0 14 Sep 2012
Proximal methods for the latent group lasso penalty S. Villa Lorenzo Rosasco S. Mosci A. Verri 35 37 0 03 Sep 2012
A lasso for hierarchical interactions Jacob Bien Jonathan E. Taylor Robert Tibshirani 42 483 0 22 May 2012
Convex Relaxation for Combinatorial Penalties G. Obozinski Francis R. Bach 51 62 0 06 May 2012
Learning a Common Substructure of Multiple Graphical Gaussian Models Satoshi Hara Takashi Washio CML 59 32 0 01 Mar 2012
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 Francis R. Bach Rodolphe Jenatton Julien Mairal G. Obozinski 76 1,055 0 03 Aug 2011
Structured Sparsity via Alternating Direction Methods Zhiwei Qin D. Goldfarb 46 77 0 04 May 2011
Union Support Recovery in Multi-task Learning Mladen Kolar John D. Lafferty Larry A. Wasserman 85 60 0 31 Aug 2010
Structured sparsity-inducing norms through submodular functions Francis R. Bach 53 194 0 25 Aug 2010
Oracle Inequalities and Optimal Inference under Group Sparsity Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 125 379 0 11 Jul 2010
Taking Advantage of Sparsity in Multi-Task Learning Karim Lounici Massimiliano Pontil Alexandre B. Tsybakov Sara van de Geer 181 292 0 09 Mar 2009