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1511.05932
Cited By
On the Global Linear Convergence of Frank-Wolfe Optimization Variants
18 November 2015
Simon Lacoste-Julien
Martin Jaggi
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Papers citing
"On the Global Linear Convergence of Frank-Wolfe Optimization Variants"
50 / 104 papers shown
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Model Function Based Conditional Gradient Method with Armijo-like Line Search
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A Functional Representation for Graph Matching
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Learning with Fenchel-Young Losses
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Revisiting Projection-Free Optimization for Strongly Convex Constraint Sets
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Greedy Frank-Wolfe Algorithm for Exemplar Selection
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Adaptively Transforming Graph Matching
Fudong Wang
Nan Xue
Yipeng Zhang
X. Bai
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26 Jul 2018
Escaping the Curse of Dimensionality in Similarity Learning: Efficient Frank-Wolfe Algorithm and Generalization Bounds
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A. Bellet
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Learning the effect of latent variables in Gaussian Graphical models with unobserved variables
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Rajiv Khanna
Isabel Valera
Gunnar Rätsch
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Bayesian posterior approximation via greedy particle optimization
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Zhenghang Cui
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Communication-Efficient Projection-Free Algorithm for Distributed Optimization
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Chao Qu
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Blended Conditional Gradients: the unconditioning of conditional gradients
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Frank-Wolfe Splitting via Augmented Lagrangian Method
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Fabian Pedregosa
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Anant Raj
Sai Praneeth Karimireddy
Gunnar Rätsch
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Online data assimilation in distributionally robust optimization
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Sonia Martínez
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Frank-Wolfe with Subsampling Oracle
Thomas Kerdreux
Fabian Pedregosa
Alexandre d’Aspremont
57
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20 Mar 2018
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision
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Tuan Dinh
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Vikas Singh
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SparseMAP: Differentiable Sparse Structured Inference
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André F. T. Martins
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Claire Cardie
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Near-Optimal Coresets of Kernel Density Estimates
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Bayesian Coreset Construction via Greedy Iterative Geodesic Ascent
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IHT dies hard: Provable accelerated Iterative Hard Thresholding
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Anastasios Kyrillidis
42
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26 Dec 2017
A Distributed Frank-Wolfe Framework for Learning Low-Rank Matrices with the Trace Norm
Wenjie Zheng
A. Bellet
Patrick Gallinari
69
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Riemannian Optimization via Frank-Wolfe Methods
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69
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Automated Scalable Bayesian Inference via Hilbert Coresets
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90
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Improved Coresets for Kernel Density Estimates
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57
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Modified Frank-Wolfe Algorithm for Enhanced Sparsity in Support Vector Machine Classifiers
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Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
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79
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Approximate and Stochastic Greedy Optimization
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Peter L. Bartlett
16
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25 May 2017
Fusion of Head and Full-Body Detectors for Multi-Object Tracking
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Laura Leal-Taixé
Daniel Cremers
Bodo Rosenhahn
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Projection Free Rank-Drop Steps
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Ethan R. Elenberg
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82
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08 Mar 2017
Robust Budget Allocation via Continuous Submodular Functions
Matthew Staib
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86
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0
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A Unified Optimization View on Generalized Matching Pursuit and Frank-Wolfe
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Rajiv Khanna
Michael Tschannen
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60
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Joint Discovery of Object States and Manipulation Actions
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Ivan Laptev
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Frank-Wolfe Algorithms for Saddle Point Problems
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Lazifying Conditional Gradient Algorithms
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Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi
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Alex Smola
84
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Convergence Rate of Frank-Wolfe for Non-Convex Objectives
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105
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Minding the Gaps for Block Frank-Wolfe Optimization of Structured SVMs
A. Osokin
Jean-Baptiste Alayrac
Isabella Lukasewitz
P. Dokania
Simon Lacoste-Julien
85
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30 May 2016
Linear-memory and Decomposition-invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes
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Ofer Meshi
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Binary Quadratic Programing for Online Tracking of Hundreds of People in Extremely Crowded Scenes
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Distributed Multi-Task Learning with Shared Representation
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Primal-Dual Rates and Certificates
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112
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Variance-Reduced and Projection-Free Stochastic Optimization
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Haipeng Luo
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An Extended Frank-Wolfe Method with "In-Face" Directions, and its Application to Low-Rank Matrix Completion
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Barrier Frank-Wolfe for Marginal Inference
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Submodular Functions: from Discrete to Continous Domains
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