| dc.date.accessioned | 2022-11-21T12:44:08Z | |
| dc.date.available | 2022-11-21T12:44:08Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://publications.mfo.de/handle/mfo/3989 | |
| dc.description.abstract | Machine learning has become an highly active field of research,
but its mathematical underpinnings are still hardly understood.
This workshop identified key challenges,
and it discussed potential solutions.
Bringing together a diverse group of researchers,
the workshop established different views on the topic based on notions from statistics, probability theory, and optimization. | |
| dc.title | Mini-Workshop: Mathematical Foundations of Robust and Generalizable Learning | |
| dc.rights.license | Dieses Dokument darf im Rahmen von § 53 UrhG zum eigenen Gebrauch kostenfrei heruntergeladen, gelesen, gespeichert und ausgedruckt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden. | de |
| dc.rights.license | This document may be downloaded, read, stored and printed for your own use within the limits of § 53 UrhG but it may not be distributed via the internet or passed on to external parties. | en |
| dc.identifier.doi | 10.14760/OWR-2022-46 | |
| local.series.id | OWR-2022-46 | |
| local.subject.msc | 62 | |
| local.date-range | 02 Oct - 08 Oct 2022 | |
| local.workshopcode | 2240c | |
| local.workshoptitle | Mini-Workshop: Mathematical Foundations of Robust and Generalizable Learning | |
| local.organizers | Johannes Lederer, Bochum; Po-Ling Loh, Cambridge; Yuting Wei, Philadelphia; Fanny Yang, Zürich | |
| local.report-name | Workshop Report 2022,46 | |
| local.opc-photo-id | 2240c | |
| local.publishers-doi | 10.4171/OWR/2022/46 | |
