| dc.contributor.author | Roos, Filip de | |
| dc.contributor.author | Gessner, Alexandra | |
| dc.contributor.author | Hennig, Philipp | |
| dc.date.accessioned | 2021-12-10T16:06:42Z | |
| dc.date.available | 2021-12-10T16:06:42Z | |
| dc.date.issued | 2021-07 | |
| dc.identifier.uri | http://hdl.handle.net/10900/121689 | |
| dc.language.iso | en | de_DE |
| dc.publisher | PMLR | de_DE |
| dc.relation.uri | https://proceedings.mlr.press/v139/de-roos21a.html | de_DE |
| dc.subject.ddc | 004 | de_DE |
| dc.title | High-Dimensional Gaussian Process Inference with Derivatives | de_DE |
| dc.type | Article | de_DE |
| dc.type | ConferenceObject | de_DE |
| utue.publikation.seiten | 2535-2545 | de_DE |
| utue.personen.roh | De Roos, Filip | |
| utue.personen.roh | Gessner, Alexandra | |
| utue.personen.roh | Hennig, Philipp | |
| dcterms.isPartOf.ZSTitelID | Proceedings of 38th International Conference on Machine Learning (ICML) | de_DE |
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