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On the Global Linear Convergence of Frank-Wolfe Optimization Variants

On the Global Linear Convergence of Frank-Wolfe Optimization Variants

18 November 2015
Simon Lacoste-Julien
Martin Jaggi
ArXiv (abs)PDFHTML

Papers citing "On the Global Linear Convergence of Frank-Wolfe Optimization Variants"

50 / 104 papers shown
Title
Stein Point Markov Chain Monte Carlo
Stein Point Markov Chain Monte Carlo
W. Chen
Alessandro Barp
François‐Xavier Briol
Jackson Gorham
Mark Girolami
Lester W. Mackey
Chris J. Oates
106
57
0
09 May 2019
Scalable and Congestion-aware Routing for Autonomous Mobility-on-Demand
  via Frank-Wolfe Optimization
Scalable and Congestion-aware Routing for Autonomous Mobility-on-Demand via Frank-Wolfe Optimization
Kiril Solovey
Mauro Salazar
Marco Pavone
76
19
0
08 Mar 2019
Model Function Based Conditional Gradient Method with Armijo-like Line
  Search
Model Function Based Conditional Gradient Method with Armijo-like Line Search
Yura Malitsky
Peter Ochs
47
4
0
23 Jan 2019
A Functional Representation for Graph Matching
A Functional Representation for Graph Matching
Fudong Wang
Gui-Song Xia
Nan Xue
Yipeng Zhang
Marcello Pelillo
62
37
0
16 Jan 2019
Learning with Fenchel-Young Losses
Learning with Fenchel-Young Losses
Mathieu Blondel
André F. T. Martins
Vlad Niculae
172
137
0
08 Jan 2019
Revisiting Projection-Free Optimization for Strongly Convex Constraint
  Sets
Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets
Jarrid Rector-Brooks
Jun-Kun Wang
Barzan Mozafari
116
9
0
14 Nov 2018
Greedy Frank-Wolfe Algorithm for Exemplar Selection
Greedy Frank-Wolfe Algorithm for Exemplar Selection
M. Doan
Armin Askari
Sutharshan Rajasegarar
L. Ghaoui
66
2
0
06 Nov 2018
Towards Gradient Free and Projection Free Stochastic Optimization
Towards Gradient Free and Projection Free Stochastic Optimization
Anit Kumar Sahu
Manzil Zaheer
S. Kar
95
40
0
08 Oct 2018
Adaptively Transforming Graph Matching
Adaptively Transforming Graph Matching
Fudong Wang
Nan Xue
Yipeng Zhang
X. Bai
Gui-Song Xia
30
9
0
26 Jul 2018
Escaping the Curse of Dimensionality in Similarity Learning: Efficient
  Frank-Wolfe Algorithm and Generalization Bounds
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
Kuan Liu
A. Bellet
83
13
0
20 Jul 2018
Learning the effect of latent variables in Gaussian Graphical models
  with unobserved variables
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables
Marina Vinyes
G. Obozinski
CML
39
2
0
20 Jul 2018
Boosting Black Box Variational Inference
Boosting Black Box Variational Inference
Francesco Locatello
Gideon Dresdner
Rajiv Khanna
Isabel Valera
Gunnar Rätsch
81
32
0
06 Jun 2018
Bayesian posterior approximation via greedy particle optimization
Bayesian posterior approximation via greedy particle optimization
Futoshi Futami
Zhenghang Cui
Issei Sato
Masashi Sugiyama
78
22
0
21 May 2018
Communication-Efficient Projection-Free Algorithm for Distributed
  Optimization
Communication-Efficient Projection-Free Algorithm for Distributed Optimization
Yan Li
Chao Qu
Huan Xu
24
1
0
20 May 2018
Blended Conditional Gradients: the unconditioning of conditional gradients
Blended Conditional Gradients: the unconditioning of conditional gradients
Gábor Braun
Sebastian Pokutta
Dan Tu
S. Wright
93
27
0
18 May 2018
Frank-Wolfe Splitting via Augmented Lagrangian Method
Frank-Wolfe Splitting via Augmented Lagrangian Method
Gauthier Gidel
Fabian Pedregosa
Simon Lacoste-Julien
61
30
0
09 Apr 2018
On Matching Pursuit and Coordinate Descent
On Matching Pursuit and Coordinate Descent
Francesco Locatello
Anant Raj
Sai Praneeth Karimireddy
Gunnar Rätsch
Bernhard Schölkopf
Sebastian U. Stich
Martin Jaggi
93
23
0
26 Mar 2018
Online data assimilation in distributionally robust optimization
Online data assimilation in distributionally robust optimization
Dan Li
Sonia Martínez
18
9
0
21 Mar 2018
Frank-Wolfe with Subsampling Oracle
Frank-Wolfe with Subsampling Oracle
Thomas Kerdreux
Fabian Pedregosa
Alexandre d’Aspremont
57
18
0
20 Mar 2018
Constrained Deep Learning using Conditional Gradient and Applications in
  Computer Vision
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
Sathya Ravi
Tuan Dinh
Vishnu Suresh Lokhande
Vikas Singh
AI4CE
71
22
0
17 Mar 2018
SparseMAP: Differentiable Sparse Structured Inference
SparseMAP: Differentiable Sparse Structured Inference
Vlad Niculae
André F. T. Martins
Mathieu Blondel
Claire Cardie
51
123
0
12 Feb 2018
Near-Optimal Coresets of Kernel Density Estimates
Near-Optimal Coresets of Kernel Density Estimates
J. M. Phillips
W. Tai
72
72
0
06 Feb 2018
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
Trevor Campbell
Tamara Broderick
90
137
0
05 Feb 2018
IHT dies hard: Provable accelerated Iterative Hard Thresholding
IHT dies hard: Provable accelerated Iterative Hard Thresholding
Rajiv Khanna
Anastasios Kyrillidis
42
34
0
26 Dec 2017
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with
  the Trace Norm
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm
Wenjie Zheng
A. Bellet
Patrick Gallinari
69
19
0
20 Dec 2017
Riemannian Optimization via Frank-Wolfe Methods
Riemannian Optimization via Frank-Wolfe Methods
Melanie Weber
S. Sra
69
33
0
30 Oct 2017
Automated Scalable Bayesian Inference via Hilbert Coresets
Automated Scalable Bayesian Inference via Hilbert Coresets
Trevor Campbell
Tamara Broderick
90
127
0
13 Oct 2017
Improved Coresets for Kernel Density Estimates
Improved Coresets for Kernel Density Estimates
J. M. Phillips
W. Tai
57
39
0
11 Oct 2017
Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector
  Machine Classifiers
Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers
Carlos M. Alaíz
Johan A. K. Suykens
23
9
0
19 Jun 2017
Greedy Algorithms for Cone Constrained Optimization with Convergence
  Guarantees
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
Francesco Locatello
Michael Tschannen
Gunnar Rätsch
Martin Jaggi
79
26
0
31 May 2017
Approximate and Stochastic Greedy Optimization
Approximate and Stochastic Greedy Optimization
N. Ye
Peter L. Bartlett
16
0
0
25 May 2017
Fusion of Head and Full-Body Detectors for Multi-Object Tracking
Fusion of Head and Full-Body Detectors for Multi-Object Tracking
Roberto Henschel
Laura Leal-Taixé
Daniel Cremers
Bodo Rosenhahn
VOT
69
13
0
23 May 2017
Projection Free Rank-Drop Steps
Projection Free Rank-Drop Steps
E. Cheung
Yuying Li
128
5
0
13 Apr 2017
On Approximation Guarantees for Greedy Low Rank Optimization
On Approximation Guarantees for Greedy Low Rank Optimization
Rajiv Khanna
Ethan R. Elenberg
A. Dimakis
S. Negahban
82
24
0
08 Mar 2017
Robust Budget Allocation via Continuous Submodular Functions
Robust Budget Allocation via Continuous Submodular Functions
Matthew Staib
Stefanie Jegelka
86
54
0
28 Feb 2017
A Unified Optimization View on Generalized Matching Pursuit and
  Frank-Wolfe
A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
Francesco Locatello
Rajiv Khanna
Michael Tschannen
Martin Jaggi
60
50
0
21 Feb 2017
Joint Discovery of Object States and Manipulation Actions
Joint Discovery of Object States and Manipulation Actions
Jean-Baptiste Alayrac
Josef Sivic
Ivan Laptev
Simon Lacoste-Julien
88
79
0
09 Feb 2017
Frank-Wolfe Algorithms for Saddle Point Problems
Frank-Wolfe Algorithms for Saddle Point Problems
Gauthier Gidel
Tony Jebara
Simon Lacoste-Julien
108
71
0
25 Oct 2016
Lazifying Conditional Gradient Algorithms
Lazifying Conditional Gradient Algorithms
Gábor Braun
Sebastian Pokutta
Daniel Zink
76
51
0
17 Oct 2016
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
84
140
0
27 Jul 2016
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Convergence Rate of Frank-Wolfe for Non-Convex Objectives
Simon Lacoste-Julien
105
195
0
01 Jul 2016
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
A. Osokin
Jean-Baptiste Alayrac
Isabella Lukasewitz
P. Dokania
Simon Lacoste-Julien
85
65
0
30 May 2016
Linear-memory and Decomposition-invariant Linearly Convergent
  Conditional Gradient Algorithm for Structured Polytopes
Linear-memory and Decomposition-invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
Dan Garber
Ofer Meshi
75
53
0
20 May 2016
Binary Quadratic Programing for Online Tracking of Hundreds of People in
  Extremely Crowded Scenes
Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes
Afshin Dehghan
M. Shah
VOT
41
45
0
30 Mar 2016
Distributed Multi-Task Learning with Shared Representation
Distributed Multi-Task Learning with Shared Representation
Jialei Wang
Mladen Kolar
Nathan Srebro
50
22
0
07 Mar 2016
Primal-Dual Rates and Certificates
Primal-Dual Rates and Certificates
Celestine Mendler-Dünner
Simone Forte
Martin Takáč
Martin Jaggi
112
60
0
16 Feb 2016
Variance-Reduced and Projection-Free Stochastic Optimization
Variance-Reduced and Projection-Free Stochastic Optimization
Elad Hazan
Haipeng Luo
87
166
0
05 Feb 2016
An Extended Frank-Wolfe Method with "In-Face" Directions, and its
  Application to Low-Rank Matrix Completion
An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion
R. Freund
Paul Grigas
Rahul Mazumder
60
115
0
06 Nov 2015
Barrier Frank-Wolfe for Marginal Inference
Barrier Frank-Wolfe for Marginal Inference
Rahul G. Krishnan
Simon Lacoste-Julien
David Sontag
107
38
0
06 Nov 2015
Submodular Functions: from Discrete to Continous Domains
Submodular Functions: from Discrete to Continous Domains
Francis R. Bach
180
149
0
02 Nov 2015
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