This paper considers a new variant of AMSGrad called Optimistic-AMSGrad. AMSGrad (Reddi et al. (2018)) is a popular adaptive gradient based optimization.
Sep 25, 2019 · AMSGrad is a popular adaptive gradient based optimization algorithm that is widely used in training deep neural networks. The new variant ...
This work evaluates Optimistic-AMSGrad and AMSGrad in terms of various performance measures (i.e., training loss, testing loss, and classification accuracy ...
We propose a new variant of AMSGrad, a popular adaptive gradient based optimization algorithm widely used for training deep neural networks.
We conduct experiments on training various neural networks on several datasets to show that the proposed method speeds up the convergence in practice.
This repository contains the scripts and codes to reproduce the experimets in the paper: Optimistic Adaptive Acceleration for Optimization. Jun-Kun Wang, ...
Mar 4, 2019 · AMSGrad RKK18 is a popular adaptive gradient based optimization algorithm that is widely used in training deep neural networks. Our new variant ...
We propose a new variant of AMSGrad (Reddi et al., 2018), which is a popular adaptive gradient based optimization algorithm widely used for training deep neural ...
Jan 10, 2021 · OPTIMISTIC-AMSGRAD improves AMSGRAD in terms of various measures: training loss, testing loss, and classification accuracy on training/testing data over epochs.
Mar 4, 2019 · We propose a new variant of AMSGrad, a popular adaptive gradient based optimization algorithm widely used for training deep neural networks. Our ...