Yuan Cao, Quanquan Gu. Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks. 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 10835-10845, 2019. [doi]
@inproceedings{CaoG19a,
title = {Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks},
author = {Yuan Cao and Quanquan Gu},
year = {2019},
url = {http://papers.nips.cc/paper/9266-generalization-bounds-of-stochastic-gradient-descent-for-wide-and-deep-neural-networks},
researchr = {https://researchr.org/publication/CaoG19a},
cites = {0},
citedby = {0},
pages = {10835-10845},
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},
}