Distributed parallel stochastic gradient descent algorithms are workhors...
To accelerate the training of machine learning models, distributed stoch...
With the increase in the amount of data and the expansion of model scale...
Composition optimization has drawn a lot of attention in a wide variety ...
(Mini-batch) Stochastic Gradient Descent is a popular optimization metho...