Duality Between Subgradient and Conditional Gradient Methods
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
http://epubs.siam.org/doi/pdf/10.1137/130941961
Reference18 articles.
1. Learning with Submodular Functions: A Convex Optimization Perspective
2. Mirror descent and nonlinear projected subgradient methods for convex optimization
3. A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
4. A Unifying Polyhedral Approximation Framework for Convex Optimization
5. Iterated Hard Shrinkage for Minimization Problems with Sparsity Constraints
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