Pontus Giselsson

Hybrid Acceleration Scheme for Variance Reduced Stochastic Optimization Algorithms

2021 · arXiv (Cornell University)

Stochastic variance reduced optimization methods are known to be globally convergent while they suffer from slow local convergence, especially when moderate or high accuracy is needed. To alleviate this problem, we propose an optimization algorithm …