%0 Conference Paper %1 conf/icml/BotevRB17 %A Botev, Aleksandar %A Ritter, Hippolyt %A Barber, David %B ICML %D 2017 %E Precup, Doina %E Teh, Yee Whye %I PMLR %K %P 557-565 %T Practical Gauss-Newton Optimisation for Deep Learning. %U http://dblp.uni-trier.de/db/conf/icml/icml2017.html#BotevRB17 %V 70

@inproceedings{conf/icml/BotevRB17, added-at = {2023-12-12T19:54:47.000+0100}, author = {Botev, Aleksandar and Ritter, Hippolyt and Barber, David}, biburl = {https://www.bibsonomy.org/bibtex/262a44e038b8d5500d4409d8d88dbd234/admin}, booktitle = {ICML}, crossref = {conf/icml/2017}, editor = {Precup, Doina and Teh, Yee Whye}, ee = {http://proceedings.mlr.press/v70/botev17a.html}, interhash = {27ca4383c0ecad346f8389dcf207814f}, intrahash = {62a44e038b8d5500d4409d8d88dbd234}, keywords = {}, pages = {557-565}, publisher = {PMLR}, series = {Proceedings of Machine Learning Research}, timestamp = {2023-12-12T19:54:47.000+0100}, title = {Practical Gauss-Newton Optimisation for Deep Learning.}, url = {http://dblp.uni-trier.de/db/conf/icml/icml2017.html#BotevRB17}, volume = 70, year = 2017 }