dc.contributor.author |
Wegner, Jonathan |
|
dc.contributor.author |
Hennig, Philipp |
|
dc.date.accessioned |
2021-11-05T16:11:30Z |
|
dc.date.available |
2021-11-05T16:11:30Z |
|
dc.date.issued |
2020 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/120526 |
|
dc.language.iso |
en |
de_DE |
dc.relation.uri |
https://arxiv.org/abs/2010.09691 |
de_DE |
dc.relation.uri |
https://proceedings.neurips.cc/paper/2020/file/4afd521d77158e02aed37e2274b90c9c-Paper.pdf |
de_DE |
dc.subject.ddc |
004 |
de_DE |
dc.title |
Probabilistic Linear Solvers for Machine Learning |
de_DE |
dc.type |
Artikel |
de_DE |
dc.type |
Konferenzveröffentlichung |
de_DE |
utue.personen.roh |
Wegner, Jonathan |
|
utue.personen.roh |
Hennig, Philipp |
|
dcterms.isPartOf.ZSTitelID |
Advances in Neural Information Processing Systems (NeurIPS 2020) |
de_DE |