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2020 – today
- 2024
[j3]Hannah Blocher
, Georg Schollmeyer, Malte Nalenz, Christoph Jansen:
Comparing machine learning algorithms by union-free generic depth. Int. J. Approx. Reason. 169: 109166 (2024)- [j2]Malte Nalenz, Julian Rodemann, Thomas Augustin:
Learning de-biased regression trees and forests from complex samples. Mach. Learn. 113(6): 3379-3398 (2024) - 2023
- [j1]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. 24: 231:1-231:37 (2023) - [c2]Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz:
Depth functions for partial orders with a descriptive analysis of machine learning algorithms. ISIPTA 2023: 59-71 - [i4]Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz:
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms. CoRR abs/2304.09872 (2023) - [i3]Roman Hornung, Malte Nalenz, Lennart Schneider, Andreas Bender, Ludwig Bothmann, Bernd Bischl, Thomas Augustin, Anne-Laure Boulesteix:
Evaluating machine learning models in non-standard settings: An overview and new findings. CoRR abs/2310.15108 (2023) - [i2]Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen:
Comparing Machine Learning Algorithms by Union-Free Generic Depth. CoRR abs/2312.12839 (2023) - 2022
- [b1]Malte Nalenz:
Characterizing model uncertainty in ensemble learning: towards more robust representation and learning of tree ensemble methods. Ludwig Maximilian University of Munich, Germany, 2022 - [c1]Malte Nalenz, Thomas Augustin:
Compressed Rule Ensemble Learning. AISTATS 2022: 9998-10014 - [i1]Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin:
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR abs/2209.01857 (2022)
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