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Learning with Submodular Functions: A Convex Optimization Perspective
28 November 2011
Francis R. Bach
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Papers citing
"Learning with Submodular Functions: A Convex Optimization Perspective"
44 / 94 papers shown
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Structured Optimal Transport
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Stochastic Submodular Maximization: The Case of Coverage Functions
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Mario Lucic
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Combinatorial Penalties: Which structures are preserved by convex relaxations?
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Francis R. Bach
Volkan Cevher
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Greedy Sampling of Graph Signals
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Faster Subgradient Methods for Functions with Hölderian Growth
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A. Dimakis
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Guarantees for Greedy Maximization of Non-submodular Functions with Applications
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J. M. Buhmann
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Sebastian Tschiatschek
112
237
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Decomposable Submodular Function Minimization: Discrete and Continuous
Alina Ene
Huy Le Nguyen
László A. Végh
112
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0
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An Efficient Decomposition Framework for Discriminative Segmentation with Supermodular Losses
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Matthew B. Blaschko
18
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0
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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
I. Shcherbatyi
Bjoern Andres
65
5
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22 Feb 2016
On the Reducibility of Submodular Functions
Jincheng Mei
Huatian Zhang
Bao-Liang Lu
33
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04 Jan 2016
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
Jiaqian Yu
Matthew Blaschko
79
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24 Dec 2015
RSG: Beating Subgradient Method without Smoothness and Strong Convexity
Tianbao Yang
Qihang Lin
138
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On the Global Linear Convergence of Frank-Wolfe Optimization Variants
Simon Lacoste-Julien
Martin Jaggi
78
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Submodular Hamming Metrics
Jennifer Gillenwater
Rishabh K. Iyer
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53
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Submodular Functions: from Discrete to Continous Domains
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177
149
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Parametric Maxflows for Structured Sparse Learning with Convex Relaxations of Submodular Functions
Yoshinobu Kawahara
Y. Yamaguchi
41
0
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14 Sep 2015
Structured Sparsity: Discrete and Convex approaches
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Luca Baldassarre
Marwa El Halabi
Quoc Tran-Dinh
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57
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A Geometric View on Constrained M-Estimators
Yen-Huan Li
Ya-Ping Hsieh
N. Zerbib
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67
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0
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Semidefinite and Spectral Relaxations for Multi-Label Classification
Rémi Lajugie
Piotr Bojanowski
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Francis R. Bach
18
0
0
05 Jun 2015
Tight Continuous Relaxation of the Balanced
k
k
k
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Syama Sundar Rangapuram
Pramod Kaushik Mudrakarta
Matthias Hein
128
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0
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Monotonic Calibrated Interpolated Look-Up Tables
Maya R. Gupta
Andrew Cotter
Jan Pfeifer
Konstantin Voevodski
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Alexander Mangylov
Wojtek Moczydlowski
A. V. Esbroeck
218
129
0
23 May 2015
Convex Optimization for Parallel Energy Minimization
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Á. Jiménez
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125
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Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions
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Huy Le Nguyen
138
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Sequential Kernel Herding: Frank-Wolfe Optimization for Particle Filtering
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Fredrik Lindsten
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169
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09 Jan 2015
A totally unimodular view of structured sparsity
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Volkan Cevher
90
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Modular proximal optimization for multidimensional total-variation regularization
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139
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The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking
Rishabh K. Iyer
J. Bilmes
41
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On the Convergence Rate of Decomposable Submodular Function Minimization
Robert Nishihara
Stefanie Jegelka
Michael I. Jordan
115
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0
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Nonlinear Eigenproblems in Data Analysis - Balanced Graph Cuts and the RatioDCA-Prox
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S. Setzer
Matthias Hein
135
12
0
18 Dec 2013
The Total Variation on Hypergraphs - Learning on Hypergraphs Revisited
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S. Setzer
Leonardo Jost
Syama Sundar Rangapuram
84
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An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure
H. Koepke
M. Meilă
142
0
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06 Dec 2013
Reflection methods for user-friendly submodular optimization
Stefanie Jegelka
Francis R. Bach
S. Sra
80
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0
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Convex relaxations of structured matrix factorizations
Francis R. Bach
112
38
0
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Maximizing submodular functions using probabilistic graphical models
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Francis R. Bach
37
3
0
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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
Thomas Bühler
Syama Sundar Rangapuram
S. Setzer
Matthias Hein
68
19
0
14 Jun 2013
Duality between subgradient and conditional gradient methods
Francis R. Bach
151
99
0
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Convex Relaxation for Combinatorial Penalties
G. Obozinski
Francis R. Bach
109
62
0
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On the Equivalence between Herding and Conditional Gradient Algorithms
Francis R. Bach
Simon Lacoste-Julien
G. Obozinski
199
169
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Structured sparsity through convex optimization
Francis R. Bach
Rodolphe Jenatton
Julien Mairal
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269
324
0
12 Sep 2011
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