ICML 2017poster106 citations
Algorithmic Stability and Hypothesis Complexity
Tongliang Liu, Gábor Lugosi, Gergely Neu, Dacheng Tao
Abstract
We introduce a notion of algorithmic stability of learning algorithms—that we term
BibTeX
@InProceedings{pmlr-v70-liu17c,
title = {Algorithmic Stability and Hypothesis Complexity},
author = {Tongliang Liu and G{\'a}bor Lugosi and Gergely Neu and Dacheng Tao},
booktitle = {Proceedings of the 34th International Conference on Machine Learning},
pages = {2159--2167},
year = {2017},
editor = {Precup, Doina and Teh, Yee Whye},
volume = {70},
series = {Proceedings of Machine Learning Research},
month = {06--11 Aug},
publisher = {PMLR},
pdf = {http://proceedings.mlr.press/v70/liu17c/liu17c.pdf},
url = {https://proceedings.mlr.press/v70/liu17c.html},
abstract = {We introduce a notion of algorithmic stability of learning algorithms—that we term