MADGRAD
Momentumized, adaptive, dual averaged gradient
The MADGRAD method contains a series of modifications to the [AdaGrad](https://paperswithcode.com/method/adagrad)-DA method to improve its performance on deep learning optimization problems. It gives state-of-the-art generalization performance across a diverse set of problems, including those that [Adam](https://paperswithcode.com/method/adam) normally under-performs on.
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization
https://paperswithcode.com/paper/adaptivity-without-compromise-a-momentumized
Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization