Yuanzhi Li, Yingyu Liang. Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations. In Doina Precup, Yee Whye Teh, editors, Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017. Volume 70 of JMLR Workshop and Conference Proceedings, pages 2062-2070, JMLR.org, 2017. [doi]
@inproceedings{LiL17-37,
title = {Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations},
author = {Yuanzhi Li and Yingyu Liang},
year = {2017},
url = {http://proceedings.mlr.press/v70/li17b.html},
researchr = {https://researchr.org/publication/LiL17-37},
cites = {0},
citedby = {0},
pages = {2062-2070},
booktitle = {Proceedings of the 34th International Conference on Machine Learning, ICML 2017, Sydney, NSW, Australia, 6-11 August 2017},
editor = {Doina Precup and Yee Whye Teh},
volume = {70},
series = {JMLR Workshop and Conference Proceedings},
publisher = {JMLR.org},
}