2019
A Characterization of Stochastic Mirror Descent Algorithms and Their Convergence Properties
ICASSP 2019accepted
Stochastic mirror descent (SMD) algorithms have recently garnered a great deal of attention in optimization, signal processing, and machine learning. They are similar to stochastic gradient descent (SGD), in that they perform updates along the negative gradient of an instantaneous (or stochastically…