Stochastic Variance-Reduced Newton: Accelerating Finite-Sum Minimization with Large Batches

Michał Dereziński

Stochastic variance reduction has proven effective at accelerating first-order algorithms for solving convex finite-sum optimization tasks such as empirical risk minimization. Inco…