Optimal Stochastic Approximation Algorithms for Strongly Convex Stochastic Composite Optimization I: A Generic Algorithmic Framework
Author:
Publisher
Society for Industrial & Applied Mathematics (SIAM)
Subject
Theoretical Computer Science,Software
Link
http://epubs.siam.org/doi/pdf/10.1137/110848864
Reference23 articles.
1. Interior Gradient and Proximal Methods for Convex and Conic Optimization
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4. The Ordered Subsets Mirror Descent Optimization Method with Applications to Tomography
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