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Gruppiert nach: Dokumententyp | Veröffentlichungsdatum
Anzahl der Publikationen: 4

Hochschulschrift

Wimmer, Lisa (Oktober 2019): A Hyper-Parameter-Tuned, Confidence-Weighted Collaborative Filtering Model for Implicit Feedback. Bachelorarbeit, Ludwig-Maximilians-Universität München
(Department of Statistics: Technical Reports) [PDF, 1MB]

Konferenzbeitrag

Vahidi, Amihossein; Wimmer, Lisa; Gündüz, Hüseyin Anil; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Rezaei, Mina (September 2024): Diversified Ensemble of Independent Sub-networks for Robust Self-supervised Representation Learning. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2024), Vilnius, Lithuania, 9. - 13. September 2024. In: Machine Learning and Knowledge Discovery in Databases Part I, LNCS Bd. 14941 Springer Cham. S. 38-55

Vahidi, Amirhossein; Schosser, Simon; Wimmer, Lisa; Li, Yawei; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 und Rezaei, Mina (Mai 2024): Probabilistic Self-supervised Representation Learning via Scoring Rules Minimization. 12th International Conference on Learning Representations (ICLR 2024), Vienna, Austria, 7. - 11. May 2024. [PDF, 439kB]

Wimmer, Lisa; Sale, Yusuf; Hofman, Paul; Bischl, Bernd ORCID logoORCID: https://orcid.org/0000-0001-6002-6980 und Hüllermeier, Eyke ORCID logoORCID: https://orcid.org/0000-0002-9944-4108 (2023): Quantifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures? Thirty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI 2023), Pittsburgh, PA, USA, 1-3 August, 2023. Evans, Robin J. und Shpitser, Ilya (Hrsg.): In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, Bd. 216 PMLR. S. 2282-2292 [PDF, 1MB]

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