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Duality between subgradient and conditional gradient methods

Duality between subgradient and conditional gradient methods

27 November 2012
Francis R. Bach
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Papers citing "Duality between subgradient and conditional gradient methods"

9 / 9 papers shown
Title
Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization
Some Primal-Dual Theory for Subgradient Methods for Strongly Convex Optimization
Benjamin Grimmer
Danlin Li
63
6
0
31 Dec 2024
Convex relaxations of structured matrix factorizations
Convex relaxations of structured matrix factorizations
Francis R. Bach
73
38
0
12 Sep 2013
Conditional Gradient Algorithms for Norm-Regularized Smooth Convex
  Optimization
Conditional Gradient Algorithms for Norm-Regularized Smooth Convex Optimization
Zaïd Harchaoui
A. Juditsky
A. Nemirovski
78
189
0
10 Feb 2013
A simpler approach to obtaining an O(1/t) convergence rate for the
  projected stochastic subgradient method
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien
Mark Schmidt
Francis R. Bach
163
260
0
10 Dec 2012
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien
Martin Jaggi
Mark Schmidt
Patrick A. Pletscher
116
365
0
19 Jul 2012
On the Equivalence between Herding and Conditional Gradient Algorithms
On the Equivalence between Herding and Conditional Gradient Algorithms
Francis R. Bach
Simon Lacoste-Julien
G. Obozinski
129
169
0
20 Mar 2012
Learning with Submodular Functions: A Convex Optimization Perspective
Learning with Submodular Functions: A Convex Optimization Perspective
Francis R. Bach
123
476
0
28 Nov 2011
Convex Optimization without Projection Steps
Convex Optimization without Projection Steps
Martin Jaggi
74
39
0
04 Aug 2011
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
146
1,338
0
03 Dec 2010
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