strongly convex stochastic optimization problems

Adam optimizer gets first unconditional error analysis

Researchers have developed a new theoretical framework to provide uniform a priori bounds and error analysis for the Adam stochastic gradient descent optimization method. This work addresses a long-standing research pro…