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 | Article | de_DE |
dc.type | ConferenceObject | 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 |
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