Georg Schollmeyer

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 28

Top Topics

Random Variables

Stochastic Dominance

Machine Learning Algorithms

Top Venues

Int. J. Approx. Reason.

Math. Soc. Sci.

Publications

Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
Comparing machine learning algorithms by union-free generic depth. Int. J. Approx. Reason. 169 (2024)
Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
Statistical Multicriteria Benchmarking via the GSD-Front. CoRR (2024)
Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson
Neural network model for imprecise regression with interval dependent variables. Neural Networks 161 (2023)
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
Robust statistical comparison of random variables with locally varying scale of measurement. UAI (2023)
Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
Depth functions for partial orders with a descriptive analysis of machine learning algorithms. ISIPTA (2023)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI (2023)
Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
Comparing Machine Learning Algorithms by Union-Free Generic Depth. CoRR (2023)
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
In all likelihoods: robust selection of pseudo-labeled data. ISIPTA (2023)
Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms. CoRR (2023)
Georg Schollmeyer, Hannah Blocher
A note on the connectedness property of union-free generic sets of partial orders. CoRR (2023)
Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. CoRR (2023)
Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR (2023)
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. 24 (2023)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR (2022)
Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR (2022)
Hannah Blocher, Georg Schollmeyer, Christoph Jansen
Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis. IPMU (2) (2022)
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. Int. J. Approx. Reason. 144 (2022)
Georg Schollmeyer
Computing Simple Bounds for Regression Estimates for Linear Regression with Interval-valued Covariates. ISIPTA (2021)
Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. CoRR (2021)
Dominik Kreiss, Georg Schollmeyer, Thomas Augustin
Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge. ISIPTA (2021)
Georg Schollmeyer
A Short Note on the Equivalence of the Ontic and the Epistemic View on Data Imprecision for the Case of Stochastic Dominance for Interval-Valued Data. ISIPTA (2019)
Cornelia Fuetterer, Georg Schollmeyer, Thomas Augustin
Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas. ISIPTA (2019)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. 96 (2018)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences. Int. J. Approx. Reason. 98 (2018)
Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
On the testability of coarsening assumptions: A hypothesis test for subgroup independence. Int. J. Approx. Reason. 90 (2017)
Christoph Jansen, Georg Schollmeyer, Thomas Augustin
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA (2017)
Christoph Jansen, Thomas Augustin, Georg Schollmeyer
Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU (2017)
Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. SMPS (2016)
Georg Schollmeyer, Thomas Augustin
Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data. Int. J. Approx. Reason. 56 (2015)