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Learning with Submodular Functions: A Convex Optimization Perspective
v1v2 (latest)

Learning with Submodular Functions: A Convex Optimization Perspective

28 November 2011
Francis R. Bach
ArXiv (abs)PDFHTML

Papers citing "Learning with Submodular Functions: A Convex Optimization Perspective"

44 / 94 papers shown
Title
Approximate Inference via Weighted Rademacher Complexity
Approximate Inference via Weighted Rademacher Complexity
Jonathan Kuck
Ashish Sabharwal
Stefano Ermon
62
7
0
27 Jan 2018
SAGA: A Submodular Greedy Algorithm For Group Recommendation
SAGA: A Submodular Greedy Algorithm For Group Recommendation
Shameem Puthiya Parambath
N. Vijayakumar
Sanjay Chawla
44
20
0
25 Dec 2017
Structured Optimal Transport
Structured Optimal Transport
David Alvarez-Melis
Tommi Jaakkola
Stefanie Jegelka
OT
66
71
0
17 Dec 2017
Stochastic Submodular Maximization: The Case of Coverage Functions
Stochastic Submodular Maximization: The Case of Coverage Functions
Mohammad Reza Karimi
Mario Lucic
S. Hassani
Andreas Krause
129
56
0
05 Nov 2017
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
73
16
0
17 Oct 2017
Greedy Sampling of Graph Signals
Greedy Sampling of Graph Signals
Luiz F. O. Chamon
Alejandro Ribeiro
90
127
0
05 Apr 2017
Faster Subgradient Methods for Functions with Hölderian Growth
Faster Subgradient Methods for Functions with Hölderian Growth
Patrick R. Johnstone
P. Moulin
59
35
0
01 Apr 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
Ethan R. Elenberg
A. Dimakis
Moran Feldman
Amin Karbasi
90
89
0
08 Mar 2017
Guarantees for Greedy Maximization of Non-submodular Functions with
  Applications
Guarantees for Greedy Maximization of Non-submodular Functions with Applications
Yatao Bian
J. M. Buhmann
Andreas Krause
Sebastian Tschiatschek
112
237
0
06 Mar 2017
Decomposable Submodular Function Minimization: Discrete and Continuous
Decomposable Submodular Function Minimization: Discrete and Continuous
Alina Ene
Huy Le Nguyen
László A. Végh
112
25
0
06 Mar 2017
An Efficient Decomposition Framework for Discriminative Segmentation
  with Supermodular Losses
An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses
Jiaqian Yu
Matthew B. Blaschko
18
1
0
13 Feb 2017
Restricted Strong Convexity Implies Weak Submodularity
Restricted Strong Convexity Implies Weak Submodularity
Ethan R. Elenberg
Rajiv Khanna
A. Dimakis
S. Negahban
92
159
0
02 Dec 2016
Convexification of Learning from Constraints
Convexification of Learning from Constraints
I. Shcherbatyi
Bjoern Andres
65
5
0
22 Feb 2016
On the Reducibility of Submodular Functions
On the Reducibility of Submodular Functions
Jincheng Mei
Huatian Zhang
Bao-Liang Lu
33
0
0
04 Jan 2016
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
Jiaqian Yu
Matthew Blaschko
79
38
0
24 Dec 2015
RSG: Beating Subgradient Method without Smoothness and Strong Convexity
RSG: Beating Subgradient Method without Smoothness and Strong Convexity
Tianbao Yang
Qihang Lin
138
85
0
09 Dec 2015
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien
Martin Jaggi
78
411
0
18 Nov 2015
Submodular Hamming Metrics
Submodular Hamming Metrics
Jennifer Gillenwater
Rishabh K. Iyer
Bethany Lusch
Rahul Kidambi
J. Bilmes
53
15
0
06 Nov 2015
Submodular Functions: from Discrete to Continous Domains
Submodular Functions: from Discrete to Continous Domains
Francis R. Bach
177
149
0
02 Nov 2015
Parametric Maxflows for Structured Sparse Learning with Convex
  Relaxations of Submodular Functions
Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions
Yoshinobu Kawahara
Y. Yamaguchi
41
0
0
14 Sep 2015
Structured Sparsity: Discrete and Convex approaches
Structured Sparsity: Discrete and Convex approaches
Anastasios Kyrillidis
Luca Baldassarre
Marwa El Halabi
Quoc Tran-Dinh
Volkan Cevher
57
27
0
20 Jul 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
67
6
0
26 Jun 2015
Semidefinite and Spectral Relaxations for Multi-Label Classification
Semidefinite and Spectral Relaxations for Multi-Label Classification
Rémi Lajugie
Piotr Bojanowski
Sylvain Arlot
Francis R. Bach
18
0
0
05 Jun 2015
Tight Continuous Relaxation of the Balanced $k$-Cut Problem
Tight Continuous Relaxation of the Balanced kkk-Cut Problem
Syama Sundar Rangapuram
Pramod Kaushik Mudrakarta
Matthias Hein
128
18
0
24 May 2015
Monotonic Calibrated Interpolated Look-Up Tables
Monotonic Calibrated Interpolated Look-Up Tables
Maya R. Gupta
Andrew Cotter
Jan Pfeifer
Konstantin Voevodski
K. Canini
Alexander Mangylov
Wojtek Moczydlowski
A. V. Esbroeck
218
129
0
23 May 2015
Convex Optimization for Parallel Energy Minimization
Convex Optimization for Parallel Energy Minimization
K. S. S. Kumar
Á. Jiménez
Stefanie Jegelka
S. Sra
Francis R. Bach
125
9
0
05 Mar 2015
Random Coordinate Descent Methods for Minimizing Decomposable Submodular
  Functions
Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
Alina Ene
Huy Le Nguyen
138
43
0
09 Feb 2015
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle
  Filtering
Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
Simon Lacoste-Julien
Fredrik Lindsten
Francis R. Bach
169
82
0
09 Jan 2015
A totally unimodular view of structured sparsity
A totally unimodular view of structured sparsity
Marwa El Halabi
Volkan Cevher
90
30
0
07 Nov 2014
Modular proximal optimization for multidimensional total-variation
  regularization
Modular proximal optimization for multidimensional total-variation regularization
Á. Jiménez
S. Sra
139
120
0
03 Nov 2014
The Lovasz-Bregman Divergence and connections to rank aggregation,
  clustering, and web ranking
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking
Rishabh K. Iyer
J. Bilmes
41
18
0
09 Aug 2014
On the Convergence Rate of Decomposable Submodular Function Minimization
On the Convergence Rate of Decomposable Submodular Function Minimization
Robert Nishihara
Stefanie Jegelka
Michael I. Jordan
115
44
0
25 Jun 2014
Nonlinear Eigenproblems in Data Analysis - Balanced Graph Cuts and the
  RatioDCA-Prox
Nonlinear Eigenproblems in Data Analysis - Balanced Graph Cuts and the RatioDCA-Prox
Leonardo Jost
S. Setzer
Matthias Hein
135
12
0
18 Dec 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
Matthias Hein
S. Setzer
Leonardo Jost
Syama Sundar Rangapuram
84
163
0
18 Dec 2013
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular
  Structure
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure
H. Koepke
M. Meilă
142
0
0
06 Dec 2013
Reflection methods for user-friendly submodular optimization
Reflection methods for user-friendly submodular optimization
Stefanie Jegelka
Francis R. Bach
S. Sra
80
76
0
18 Nov 2013
Convex relaxations of structured matrix factorizations
Convex relaxations of structured matrix factorizations
Francis R. Bach
112
38
0
12 Sep 2013
Maximizing submodular functions using probabilistic graphical models
Maximizing submodular functions using probabilistic graphical models
K. S. S. Kumar
Francis R. Bach
37
3
0
10 Sep 2013
Fast Semidifferential-based Submodular Function Optimization
Fast Semidifferential-based Submodular Function Optimization
Rishabh K. Iyer
Stefanie Jegelka
J. Bilmes
131
109
0
05 Aug 2013
Constrained fractional set programs and their application in local
  clustering and community detection
Constrained fractional set programs and their application in local clustering and community detection
Thomas Bühler
Syama Sundar Rangapuram
S. Setzer
Matthias Hein
68
19
0
14 Jun 2013
Duality between subgradient and conditional gradient methods
Duality between subgradient and conditional gradient methods
Francis R. Bach
151
99
0
27 Nov 2012
Convex Relaxation for Combinatorial Penalties
Convex Relaxation for Combinatorial Penalties
G. Obozinski
Francis R. Bach
109
62
0
06 May 2012
On the Equivalence between Herding and Conditional Gradient Algorithms
On the Equivalence between Herding and Conditional Gradient Algorithms
Francis R. Bach
Simon Lacoste-Julien
G. Obozinski
199
169
0
20 Mar 2012
Structured sparsity through convex optimization
Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
G. Obozinski
269
324
0
12 Sep 2011
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