Semi-Stochastic Gradient Descent Methods
Quartz: Randomized Dual Coordinate Ascent with Arbitrary Sampling
A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation
Accelerating Minibatch Stochastic Gradient Descent using Stratified Sampling
Stochastic Learning on Imbalanced Data: Determinantal Point Processes for Mini-batch Diversification
A Divide-and-Conquer Solver for Kernel Support Vector Machines