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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
ArXivPDFHTML

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

46 / 46 papers shown
Title
Statistical inference of convex order by Wasserstein projection
Statistical inference of convex order by Wasserstein projection
Jakwang Kim
Young-Heon Kim
Yuanlong Ruan
Andrew Warren
36
2
0
05 Jun 2024
Analyzing and Improving Greedy 2-Coordinate Updates for
  Equality-Constrained Optimization via Steepest Descent in the 1-Norm
Analyzing and Improving Greedy 2-Coordinate Updates for Equality-Constrained Optimization via Steepest Descent in the 1-Norm
A. Ramesh
Aaron Mishkin
Mark W. Schmidt
Yihan Zhou
J. Lavington
Jennifer She
31
1
0
03 Jul 2023
Faster Discrete Convex Function Minimization with Predictions: The
  M-Convex Case
Faster Discrete Convex Function Minimization with Predictions: The M-Convex Case
Taihei Oki
Shinsaku Sakaue
17
2
0
09 Jun 2023
Convex optimization over a probability simplex
Convex optimization over a probability simplex
James Chok
G. Vasil
23
2
0
15 May 2023
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates
  and Practical Features
Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features
Aleksandr Beznosikov
David Dobre
Gauthier Gidel
25
5
0
23 Apr 2023
Reducing Discretization Error in the Frank-Wolfe Method
Reducing Discretization Error in the Frank-Wolfe Method
Zhaoyue Chen
Yifan Sun
13
1
0
04 Apr 2023
On Separability of Covariance in Multiway Data Analysis
On Separability of Covariance in Multiway Data Analysis
Dogyoon Song
Alfred Hero
21
0
0
05 Feb 2023
A Multistep Frank-Wolfe Method
A Multistep Frank-Wolfe Method
Zhaoyue Chen
Yifan Sun
11
0
0
14 Oct 2022
Online Subset Selection using $α$-Core with no Augmented Regret
Online Subset Selection using ααα-Core with no Augmented Regret
Sourav Sahoo
Siddhant Chaudhary
S. Mukhopadhyay
Abhishek Sinha
OffRL
45
0
0
28 Sep 2022
Active Exploration via Experiment Design in Markov Chains
Active Exploration via Experiment Design in Markov Chains
Mojmír Mutný
Tadeusz Janik
Andreas Krause
33
14
0
29 Jun 2022
Collision Detection Accelerated: An Optimization Perspective
Collision Detection Accelerated: An Optimization Perspective
Louis Montaut
Quentin Le Lidec
Vladimir Petrik
Josef Sivic
Justin Carpentier
8
19
0
19 May 2022
Frank Wolfe Meets Metric Entropy
Frank Wolfe Meets Metric Entropy
Suhas Vijaykumar
18
0
0
17 May 2022
Conditional Gradients for the Approximate Vanishing Ideal
Conditional Gradients for the Approximate Vanishing Ideal
E. Wirth
S. Pokutta
18
1
0
07 Feb 2022
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and
  Beyond
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond
Đ.Khuê Lê-Huu
Alahari Karteek
23
12
0
27 Oct 2021
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps
  and Relevance Orderings
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings
Jan Macdonald
Mathieu Besançon
S. Pokutta
27
11
0
15 Oct 2021
Heavy Ball Momentum for Conditional Gradient
Heavy Ball Momentum for Conditional Gradient
Bingcong Li
A. Sadeghi
G. Giannakis
17
5
0
08 Oct 2021
Linear Bandits on Uniformly Convex Sets
Linear Bandits on Uniformly Convex Sets
Thomas Kerdreux
Christophe Roux
Alexandre d’Aspremont
S. Pokutta
23
7
0
10 Mar 2021
First-Order Methods for Convex Optimization
First-Order Methods for Convex Optimization
Pavel Dvurechensky
Mathias Staudigl
Shimrit Shtern
ODL
18
25
0
04 Jan 2021
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe
  Algorithms
Efficient Optimization of Dominant Set Clustering with Frank-Wolfe Algorithms
Carl Johnell
M. Chehreghani
11
1
0
22 Jul 2020
Walking in the Shadow: A New Perspective on Descent Directions for
  Constrained Minimization
Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization
Hassan Mortagy
Swati Gupta
S. Pokutta
16
7
0
15 Jun 2020
Zero-Assignment Constraint for Graph Matching with Outliers
Zero-Assignment Constraint for Graph Matching with Outliers
Fudong Wang
Nan Xue
Jin-Gang Yu
Guisong Xia
24
20
0
26 Mar 2020
Safe Screening for the Generalized Conditional Gradient Method
Safe Screening for the Generalized Conditional Gradient Method
Yifan Sun
Francis R. Bach
17
9
0
22 Feb 2020
Second-order Conditional Gradient Sliding
Second-order Conditional Gradient Sliding
Alejandro Carderera
S. Pokutta
14
12
0
20 Feb 2020
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
A Newton Frank-Wolfe Method for Constrained Self-Concordant Minimization
Deyi Liu
V. Cevher
Quoc Tran-Dinh
21
15
0
17 Feb 2020
Self-Concordant Analysis of Frank-Wolfe Algorithms
Self-Concordant Analysis of Frank-Wolfe Algorithms
Pavel Dvurechensky
P. Ostroukhov
K. Safin
Shimrit Shtern
Mathias Staudigl
14
24
0
11 Feb 2020
On the Effectiveness of Richardson Extrapolation in Machine Learning
On the Effectiveness of Richardson Extrapolation in Machine Learning
Francis R. Bach
11
9
0
07 Feb 2020
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
30
56
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
18
18
0
08 Mar 2019
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and
  Projection Free
Quantized Frank-Wolfe: Faster Optimization, Lower Communication, and Projection Free
Mingrui Zhang
Lin Chen
Aryan Mokhtari
Hamed Hassani
Amin Karbasi
16
8
0
17 Feb 2019
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
11
13
0
20 Jul 2018
Boosting Black Box Variational Inference
Boosting Black Box Variational Inference
Francesco Locatello
Gideon Dresdner
Rajiv Khanna
Isabel Valera
Gunnar Rätsch
16
31
0
06 Jun 2018
Blended Conditional Gradients: the unconditioning of conditional gradients
Blended Conditional Gradients: the unconditioning of conditional gradients
Gábor Braun
S. Pokutta
Dan Tu
S. Wright
30
25
0
18 May 2018
Online data assimilation in distributionally robust optimization
Online data assimilation in distributionally robust optimization
Dan Li
Sonia Martínez
12
9
0
21 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
13
22
0
17 Mar 2018
Near-Optimal Coresets of Kernel Density Estimates
Near-Optimal Coresets of Kernel Density Estimates
J. M. Phillips
W. Tai
16
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
19
136
0
05 Feb 2018
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
16
19
0
20 Dec 2017
Improved Coresets for Kernel Density Estimates
Improved Coresets for Kernel Density Estimates
J. M. Phillips
W. Tai
8
38
0
11 Oct 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
20
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
37
70
0
25 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
13
138
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
22
192
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
25
65
0
30 May 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
14
115
0
06 Nov 2015
On the Online Frank-Wolfe Algorithms for Convex and Non-convex
  Optimizations
On the Online Frank-Wolfe Algorithms for Convex and Non-convex Optimizations
Jean Lafond
Hoi-To Wai
Eric Moulines
35
32
0
05 Oct 2015
A Linearly Convergent Conditional Gradient Algorithm with Applications
  to Online and Stochastic Optimization
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization
Dan Garber
Elad Hazan
53
94
0
20 Jan 2013
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