@inproceedings{523cb139065b4c9b8aa740be7abc8a30,
title = "Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization",
abstract = "This paper presents a framework of successive functional gradient optimization for training nonconvex models such as neural networks, where training is driven by mirror descent in a function space. We provide a theoretical analysis and empirical study of the training method derived from this framework. It is shown that the method leads to better performance than that of standard training techniques.",
author = "Rie Johnson and Tong Zhang",
note = "Publisher Copyright: {\textcopyright} 2020 by the Authors.; 37th International Conference on Machine Learning, ICML 2020 ; Conference date: 13-07-2020 Through 18-07-2020",
year = "2020",
language = "English (US)",
series = "37th International Conference on Machine Learning, ICML 2020",
publisher = "International Machine Learning Society (IMLS)",
pages = "4870--4879",
editor = "Hal Daume and Aarti Singh",
booktitle = "37th International Conference on Machine Learning, ICML 2020",
}