arXiv (Cornell University)· 2014· Preprint
SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives
- 932citations
- 2014year
Short summary
SAGA is a new optimization method that achieves faster linear convergence rates than previous incremental gradient algorithms like SAG and SVRG, and directly supports non-strongly convex composite objectives.
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