@inproceedings{kurkova_width_2018,
	location = {Cham},
	title = {Width of Minima Reached by Stochastic Gradient Descent is Influenced by Learning Rate to Batch Size Ratio},
	volume = {11141},
	isbn = {978-3-030-01423-0 978-3-030-01424-7},
	url = {http://link.springer.com/10.1007/978-3-030-01424-7_39},
	doi = {10.1007/978-3-030-01424-7_39},
	pages = {392--402},
	booktitle = {Artificial Neural Networks and Machine Learning – {ICANN} 2018},
	publisher = {Springer International Publishing},
	eprinttype = {jstor},
	eprint = {https://www.research.ed.ac.uk/portal/en/publications/width-of-minima-reached-by-stochastic-gradient-descent-is-influenced-by-learning-rate-to-batch-size-ratio(1b1d210a-efed-44b7-8907-c1506f70a64d).html},
	author = {Jastrzębski, Stanislaw and Kenton, Zachary and Arpit, Devansh and Ballas, Nicolas and Fischer, Asja and Bengio, Yoshua and Storkey, Amos},
	editor = {Kůrková, Věra and Manolopoulos, Yannis and Hammer, Barbara and Iliadis, Lazaros and Maglogiannis, Ilias},
	urldate = {2019-01-29},
	date = {2018},
	doi = {10.1007/978-3-030-01424-7_39}
}