Variance Reduction for Faster Non-Convex Optimization
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization
A Spectral Algorithm for Learning Hidden Markov Models
Improved SVRG for Non-Strongly-Convex or Sum-of-Non-Convex Objectives
Accelerated Proximal Gradient Methods for Nonconvex Programming
Accelerating Stochastic Gradient Descent using Predictive Variance Reduction