Hannah Blocher

According to our database, Hannah Blocher authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Data depth functions for non-standard data by use of formal concept analysis.

Hannah Blocher, Georg Schollmeyer

J. Multivar. Anal., 2025

2024

Comparing machine learning algorithms by union-free generic depth.

Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen

Int. J. Approx. Reason., 2024

Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework.

Esteban Garces Arias, Hannah Blocher, Julian Rodemann, Meimingwei Li, Christian Heumann, Matthias Aßenmacher

CoRR, 2024

Statistical Multicriteria Benchmarking via the GSD-Front.

Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin

CoRR, 2024

Partial Rankings of Optimizers.

Julian Rodemann, Hannah Blocher

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2023

A note on the connectedness property of union-free generic sets of partial orders.

Georg Schollmeyer, Hannah Blocher

CoRR, 2023

Robust statistical comparison of random variables with locally varying scale of measurement.

Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Depth functions for partial orders with a descriptive analysis of machine learning algorithms.

Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz

Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

2022

Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty.

Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer

Int. J. Approx. Reason., 2022

Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis.

Hannah Blocher, Georg Schollmeyer, Christoph Jansen

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022