Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension

dc.contributor.author	Haas, Moritz
dc.contributor.author	Luxburg, Ulrike von
dc.date.accessioned	2024-06-25T06:47:39Z
dc.date.available	2024-06-25T06:47:39Z
dc.date.issued	2023
dc.identifier.uri	http://hdl.handle.net/10900/154432
dc.language.iso	en	de_DE
dc.publisher	Curran Associates, Inc.	de_DE
dc.relation.uri	https://proceedings.neurips.cc/paper_files/paper/2023/file/421f83663c02cdaec8c3c38337709989-Paper-Conference.pdf	de_DE
dc.relation.uri	https://proceedings.neurips.cc/paper_files/paper/2023/hash/421f83663c02cdaec8c3c38337709989-Abstract-Conference.html	de_DE
dc.subject.ddc	004	de_DE
dc.title	Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension	de_DE
dc.type	ConferenceObject	de_DE
utue.kommentar.intern	Preprint: https://doi.org/10.48550/arXiv.2305.14077	de_DE
utue.publikation.seiten	20763--20826	de_DE
utue.personen.roh	Haas, Moritz
utue.personen.roh	Holzmüller, David
utue.personen.roh	Luxburg, Ulrike von
utue.personen.roh	Steinwart, Ingo
dcterms.isPartOf.ZS-Volume	36	de_DE