SAPPHIRE is a new preconditioned variance-reduced stochastic method with provable linear convergence for composite convex problems, achieving large speedups on regularized ERM.
Variance reduction for faster non-convex optimization
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SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
SAPPHIRE is a new preconditioned variance-reduced stochastic method with provable linear convergence for composite convex problems, achieving large speedups on regularized ERM.