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Generalized Conditional Gradient for Sparse Estimation

Generalized Conditional Gradient for Sparse Estimation

17 October 2014
Yaoliang Yu
Xinhua Zhang
Dale Schuurmans
ArXivPDFHTML

Papers citing "Generalized Conditional Gradient for Sparse Estimation"

12 / 12 papers shown
Title
Sparse Visual Counterfactual Explanations in Image Space
Sparse Visual Counterfactual Explanations in Image Space
Valentyn Boreiko
Maximilian Augustin
Francesco Croce
Philipp Berens
Matthias Hein
BDL
CML
30
26
0
16 May 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
31
12
0
27 Oct 2021
Safe Screening for the Generalized Conditional Gradient Method
Safe Screening for the Generalized Conditional Gradient Method
Yifan Sun
Francis R. Bach
27
9
0
22 Feb 2020
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Stochastic Frank-Wolfe Methods for Nonconvex Optimization
Sashank J. Reddi
S. Sra
Barnabás Póczós
Alex Smola
18
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
27
192
0
01 Jul 2016
Graph-Guided Banding of the Covariance Matrix
Graph-Guided Banding of the Covariance Matrix
Jacob Bien
11
6
0
01 Jun 2016
Structured Nonconvex and Nonsmooth Optimization: Algorithms and
  Iteration Complexity Analysis
Structured Nonconvex and Nonsmooth Optimization: Algorithms and Iteration Complexity Analysis
Bo Jiang
Tianyi Lin
Shiqian Ma
Shuzhong Zhang
17
146
0
09 May 2016
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
40
32
0
05 Oct 2015
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
Global Optimality in Tensor Factorization, Deep Learning, and Beyond
B. Haeffele
René Vidal
26
151
0
24 Jun 2015
Communication-Efficient Distributed Optimization of Self-Concordant
  Empirical Loss
Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss
Yuchen Zhang
Lin Xiao
33
72
0
01 Jan 2015
Stochastic Gradient Descent for Non-smooth Optimization: Convergence
  Results and Optimal Averaging Schemes
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
101
570
0
08 Dec 2012
Convex Sparse Matrix Factorizations
Convex Sparse Matrix Factorizations
Francis R. Bach
Julien Mairal
Jean Ponce
137
143
0
10 Dec 2008
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