| dc.contributor.author | Schmidt, Robin M. | |
| dc.contributor.author | Schneider, Frank | |
| dc.contributor.author | Hennig, Philipp | |
| dc.date.accessioned | 2022-05-12T15:33:29Z | |
| dc.date.available | 2022-05-12T15:33:29Z | |
| dc.date.issued | 2021-07-01 | |
| dc.identifier.uri | http://hdl.handle.net/10900/127063 | |
| dc.language.iso | en | de_DE |
| dc.publisher | PMLR | de_DE |
| dc.relation.uri | https://proceedings.mlr.press/v139/schmidt21a.html | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | Descending through a crowded valley-benchmarking deep learning optimizers | de_DE |
| dc.type | Article | de_DE |
| dc.type | ConferenceObject | de_DE |
| utue.publikation.seiten | 9367-9376 | de_DE |
| utue.personen.roh | Schmidt, Robin M. | |
| utue.personen.roh | Schneider, Frank | |
| utue.personen.roh | Hennig, Philipp | |
| dcterms.isPartOf.ZSTitelID | International Conference on Machine Learning | de_DE |
| dcterms.isPartOf.ZS-Volume | 139 | de_DE |
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