Gradient descent in higher codimension
Optimization and Control
2019-04-19 v2 Machine Learning
Dynamical Systems
Machine Learning
Abstract
We consider the behavior of gradient flow and of discrete and noisy gradient descent. It is commonly noted that the addition of noise to the process of discrete gradient descent can affect the trajectory of gradient descent. In previous work, we observed such effects. There, we considered the case where the minima had codimension 1. In this note, we do some computer experiments and observe the behavior of noisy gradient descent in the more complex setting of minima of higher codimension.
Cite
@article{arxiv.1809.05527,
title = {Gradient descent in higher codimension},
author = {Y. Cooper},
journal= {arXiv preprint arXiv:1809.05527},
year = {2019}
}