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| Veröffentlichungsdatum
Springe zu: Hochschulschrift | Konferenzbeitrag
Anzahl der Publikationen: 6
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]
(Department of Statistics: Technical Reports) [PDF, 1MB]
Konferenzbeitrag
Vahidi, Amihossein; Wimmer, Lisa; Gündüz, Hüseyin Anil; Bischl, Bernd 
ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: 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
[PDF, 904kB]
ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: 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
[PDF, 904kB]
Sale, Yusuf; Hofman, Paul; Löhr, Timo ORCID: https://orcid.org/0000-0001-7150-4618; Wimmer, Lisa; Nagler, Thomas und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(15. Juli 2024):
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, 15. - 19. July 2024.
Kiyavash, Negar und Mooij, Joris M. (Hrsg.):
Proceedings of Machine Learning Research.
Bd. 244
PMLR. S. 3159-3179
[PDF, 1MB]
ORCID: https://orcid.org/0000-0001-7150-4618; Wimmer, Lisa; Nagler, Thomas und Hüllermeier, Eyke ORCID: https://orcid.org/0000-0002-9944-4108
(15. Juli 2024):
Label-wise Aleatoric and Epistemic Uncertainty Quantification.
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence, Barcelona, Spain, 15. - 19. July 2024.
Kiyavash, Negar und Mooij, Joris M. (Hrsg.):
Proceedings of Machine Learning Research.
Bd. 244
PMLR. S. 3159-3179
[PDF, 1MB]
Vahidi, Amirhossein; Schosser, Simon; Wimmer, Lisa; Li, Yawei; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: 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]
ORCID: https://orcid.org/0000-0001-6002-6980; Hüllermeier, Eyke ORCID: 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: https://orcid.org/0000-0001-6002-6980 und Hüllermeier, Eyke ORCID: 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]
ORCID: https://orcid.org/0000-0001-6002-6980 und Hüllermeier, Eyke ORCID: 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]
Wiese, Jonas Gregor; Wimmer, Lisa; Papamarkou, Theodore; Bischl, Bernd ORCID: https://orcid.org/0000-0001-6002-6980; Günnemann, Stephan und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2023):
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 459-474
ORCID: https://orcid.org/0000-0001-6002-6980; Günnemann, Stephan und Rügamer, David ORCID: https://orcid.org/0000-0002-8772-9202
(2023):
Towards Efficient MCMC Sampling in Bayesian Neural Networks by Exploiting Symmetry.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Turin, Italy, 18.-22. September 2023.
In: Machine Learning and Knowledge Discovery in Databases: Research Track, Lecture Notes in Computer Science
Bd. 14169
Cham: Springer. S. 459-474