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A totally unimodular view of structured sparsity
v1v2 (latest)

A totally unimodular view of structured sparsity

7 November 2014
Marwa El Halabi
Volkan Cevher
ArXiv (abs)PDFHTML

Papers citing "A totally unimodular view of structured sparsity"

9 / 9 papers shown
Title
Online Nonsubmodular Minimization with Delayed Costs: From Full
  Information to Bandit Feedback
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
Tianyi Lin
Aldo Pacchiano
Yaodong Yu
Michael I. Jordan
71
0
0
15 May 2022
Adaptive Three Operator Splitting
Adaptive Three Operator Splitting
Fabian Pedregosa
Gauthier Gidel
62
30
0
06 Apr 2018
Combinatorial Penalties: Which structures are preserved by convex
  relaxations?
Combinatorial Penalties: Which structures are preserved by convex relaxations?
Marwa El Halabi
Francis R. Bach
Volkan Cevher
83
16
0
17 Oct 2017
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
47
0
0
21 Mar 2017
Learning-based Compressive Subsampling
Learning-based Compressive Subsampling
Luca Baldassarre
Yen-Huan Li
Jonathan Scarlett
Baran Gözcü
Ilija Bogunovic
Volkan Cevher
130
73
0
21 Oct 2015
A Geometric View on Constrained M-Estimators
A Geometric View on Constrained M-Estimators
Yen-Huan Li
Ya-Ping Hsieh
N. Zerbib
Volkan Cevher
70
6
0
26 Jun 2015
The LASSO with Non-linear Measurements is Equivalent to One With Linear
  Measurements
The LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements
Christos Thrampoulidis
Ehsan Abbasi
B. Hassibi
122
117
0
06 Jun 2015
Convex Optimization for Big Data
Convex Optimization for Big Data
Volkan Cevher
Stephen Becker
Mark Schmidt
87
303
0
04 Nov 2014
Group-Sparse Model Selection: Hardness and Relaxations
Group-Sparse Model Selection: Hardness and Relaxations
Luca Baldassarre
Nirav Bhan
Volkan Cevher
Anastasios Kyrillidis
Siddhartha Satpathi
87
35
0
13 Mar 2013
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