Zeyuan Allen Zhu, Yuanzhi Li. Can SGD Learn Recurrent Neural Networks with Provable Generalization?. In Hanna M. Wallach, Hugo Larochelle, Alina Beygelzimer, Florence d'Alché-Buc, Edward A. Fox, Roman Garnett, editors, Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada. pages 10331-10341, 2019. [doi]
@inproceedings{Allen-ZhuL19a,
title = {Can SGD Learn Recurrent Neural Networks with Provable Generalization?},
author = {Zeyuan Allen Zhu and Yuanzhi Li},
year = {2019},
url = {http://papers.nips.cc/paper/9221-can-sgd-learn-recurrent-neural-networks-with-provable-generalization},
researchr = {https://researchr.org/publication/Allen-ZhuL19a},
cites = {0},
citedby = {0},
pages = {10331-10341},
booktitle = {Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, NeurIPS 2019, 8-14 December 2019, Vancouver, BC, Canada},
editor = {Hanna M. Wallach and Hugo Larochelle and Alina Beygelzimer and Florence d'Alché-Buc and Edward A. Fox and Roman Garnett},
}