%0 Conference Paper %1 conf/allerton/KawaguchiH19 %A Kawaguchi, Kenji %A Huang, Jiaoyang %B Allerton %D 2019 %I IEEE %K dblp %P 92-99 %T Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes. %U http://dblp.uni-trier.de/db/conf/allerton/allerton2019.html#KawaguchiH19 %@ 978-1-7281-3151-1

@inproceedings{conf/allerton/KawaguchiH19, added-at = {2019-12-13T00:00:00.000+0100}, author = {Kawaguchi, Kenji and Huang, Jiaoyang}, biburl = {https://www.bibsonomy.org/bibtex/24371b332b410a2774f98e4a7536b3ae8/dblp}, booktitle = {Allerton}, crossref = {conf/allerton/2019}, ee = {https://doi.org/10.1109/ALLERTON.2019.8919696}, interhash = {8fa7e0d84d39ffd87fea880a74ef0458}, intrahash = {4371b332b410a2774f98e4a7536b3ae8}, isbn = {978-1-7281-3151-1}, keywords = {dblp}, pages = {92-99}, publisher = {IEEE}, timestamp = {2019-12-14T11:42:38.000+0100}, title = {Gradient Descent Finds Global Minima for Generalizable Deep Neural Networks of Practical Sizes.}, url = {http://dblp.uni-trier.de/db/conf/allerton/allerton2019.html#KawaguchiH19}, year = 2019 }