Malte Nalenz

According to our database, Malte Nalenz authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Learning de-biased regression trees and forests from complex samples.

Malte Nalenz, Julian Rodemann, Thomas Augustin

Mach. Learn., June, 2024

Comparing machine learning algorithms by union-free generic depth.

Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen

Int. J. Approx. Reason., 2024

2023

Statistical Comparisons of Classifiers by Generalized Stochastic Dominance.

Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin

J. Mach. Learn. Res., 2023

Evaluating machine learning models in non-standard settings: An overview and new findings.

Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix

CoRR, 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

Characterizing model uncertainty in ensemble learning: towards more robust representation and learning of tree ensemble methods.

Malte Nalenz

PhD thesis, 2022

Compressed Rule Ensemble Learning.

Malte Nalenz, Thomas Augustin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022