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20182022
most citedA Common Framework for Natural Gradient and Taylor based Optimisation using Manifold Theory

2 citations · 2 across the 4 of their papers we have counts for

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Showing 2021Show all

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cs.LG2021

A Distributed Optimisation Framework Combining Natural Gradient with Hessian-Free for Discriminative Sequence Training

Adnan Haider, Chao Zhang, Florian L. Kreyssig +1

This paper presents a novel natural gradient and Hessian-free (NGHF) optimisation framework for neural network training that can operate efficiently in a distributed manner. It rel…