Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization, II: Shrinking Procedures and Optimal Algorithms
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
http://epubs.siam.org/doi/pdf/10.1137/110848876
Reference18 articles.
1. Interior projection-like methods for monotone variational inequalities
2. Interior Gradient and Proximal Methods for Convex and Conic Optimization
3. stochastic quasigradient methods and their application to system optimization†
4. Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework
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