Erratum: SGDQN Is Less Careful than Expected
Abstract
The SGD-QN algorithm described in Bordes et al. (2009) contains a subtle flaw that prevents it from reaching its design goals. Yet the flawed SGD-QN algorithm has worked well enough to be a winner of the first Pascal Large Scale Learning Challenge (Sonnenburg et al., 2008). This document clarifies the situation, proposes a corrected algorithm, and evaluates its performance.
Cite
Text
Bordes et al. "Erratum: SGDQN Is Less Careful than Expected." Journal of Machine Learning Research, 2010.Markdown
[Bordes et al. "Erratum: SGDQN Is Less Careful than Expected." Journal of Machine Learning Research, 2010.](https://mlanthology.org/jmlr/2010/bordes2010jmlr-erratum/)BibTeX
@article{bordes2010jmlr-erratum,
title = {{Erratum: SGDQN Is Less Careful than Expected}},
author = {Bordes, Antoine and Bottou, Léon and Gallinari, Patrick and Chang, Jonathan and Smith, S. Alex},
journal = {Journal of Machine Learning Research},
year = {2010},
pages = {2229-2240},
volume = {11},
url = {https://mlanthology.org/jmlr/2010/bordes2010jmlr-erratum/}
}