Sibylle Hess

According to our database, Sibylle Hess authored at least 14 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Scoring Rule Nets: Beyond Mean Target Prediction in Multivariate Regression.

Daan Roordink, Sibylle Hess

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2022

Shrub Ensembles for Online Classification.

Sebastian Buschjäger, Sibylle Hess, Katharina Morik

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Matrix Factorization with Binary Constraints.

Sibylle Hess

Proceedings of the Machine Learning under Resource Constraints - Volume 1: Fundamentals, 2022

2021

BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent.

Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci

Data Min. Knowl. Discov., 2021

2020

How to cheat the page limit.

Wouter Duivesteijn, Sibylle Hess, Xin Du

WIREs Data Mining Knowl. Discov., 2020

Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring.

Sibylle Hess, Wouter Duivesteijn, Decebal Constantin Mocanu

CoRR, 2020

2019

k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities.

Sibylle Hess, Wouter Duivesteijn

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering.

Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik

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

Sibylle Hess

PhD thesis, 2018

The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization.

Sibylle Hess, Nico Piatkowski, Katharina Morik

Proceedings of the 2018 SIAM International Conference on Data Mining, 2018

The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering.

Erich Schubert, Sibylle Hess, Katharina Morik

Proceedings of the Conference "Lernen, Wissen, Daten, Analysen", 2018

2017

The PRIMPING routine - Tiling through proximal alternating linearized minimization.

Sibylle Hess, Katharina Morik, Nico Piatkowski

Data Min. Knowl. Discov., 2017

C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization.

Sibylle Hess, Katharina Morik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

2014

SHrimp: Descriptive Patterns in a Tree.

Sibylle Hess, Nico Piatkowski, Katharina Morik

Proceedings of the 16th LWA Workshops: KDML, 2014