Sibylle Hess
Orcid: 0000-0002-2557-4604
According to our database1,
Sibylle Hess
authored at least 15 papers
between 2014 and 2024.
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Proceedings of the Discovery Science - 27th International Conference, 2024
2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022
2021
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent.
Data Min. Knowl. Discov., 2021
2020
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring.
CoRR, 2020
2019
k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
A mathematical theory of making hard decisions: model selection and robustness of matrix factorization with binary constraints
PhD thesis, 2018
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018
2017
Data Min. Knowl. Discov., 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
2014
Proceedings of the 16th LWA Workshops: KDML, 2014