Georg Schollmeyer

Ludwig-Maximilians-Universität München — Germany

Decision Sciences · Social Sciences

6h-index129citations52works0.32yr avg
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Research Topics

Multi-Criteria Decision Making(18), Bayesian Modeling and Causal Inference(17), Rough Sets and Fuzzy Logic(8), Advanced Statistical Methods and Models(8), Decision-Making and Behavioral Economics(7)

Publications52 total

Beyond Arrow: From Impossibility to Possibilities in Multi-Criteria Benchmarking
arXiv (Cornell University)·2026Open Access
Beyond Arrow: From Impossibility to Possibilities in Multi-Criteria Benchmarking
arXiv (Cornell University)·2026Open Access
Empirical Decision Theory
SSRN Electronic Journal·2026Open Access
Empirical Decision Theory
arXiv (Cornell University)·2025Open Access
Union-Free Generic Depth for Non-Standard Data
arXiv (Cornell University)·2024Open Access
Data depth functions for non-standard data by use of formal concept analysis
Journal of Multivariate Analysis·2024· 2 citedOpen Access
Reciprocal Learning
arXiv (Cornell University)·2024Open Access
Statistical Multicriteria Benchmarking via the GSD-Front
arXiv (Cornell University)·2024Open Access
Comparing machine learning algorithms by union-free generic depth
International Journal of Approximate Reasoning·2024· 1 citedOpen Access
Data depth functions for non-standard data by use of formal concept analysis
arXiv (Cornell University)·2024Open Access
Statistical Multicriteria Benchmarking via the GSD-Front
2024
Reciprocal Learning
2024
Comparing Machine Learning Algorithms by Union-Free Generic Depth
arXiv (Cornell University)·2023Open Access
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement
arXiv (Cornell University)·2023Open Access
A note on the connectedness property of union-free generic sets of partial orders
arXiv (Cornell University)·2023Open Access
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms
arXiv (Cornell University)·2023Open Access
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning
arXiv (Cornell University)·2023Open Access
Neural network model for imprecise regression with interval dependent variables
Neural Networks·2023· 13 citedOpen Access
Multi-target Decision Making Under Conditions of Severe Uncertainty
Lecture notes in computer science·2023
Multi-Target Decision Making under Conditions of Severe Uncertainty
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Thomas Augustin(27), Christoph Jansen(24), Hannah Blocher(13), Julian Rodemann(10), Marco Cattaneo(5), Julia Plaß(4), Malte Nalenz(4), Krasymyr Tretiak(2), Scott Ferson(2), Christian Heumann(2), Polina Gordienko(2), Christoph Jansen(2), Jean Baccelli(2), Cornelia Fuetterer(1), Dominik Kreiß(1), Jan L. Plass(1), Christoph Janse(1), Christoph Jansen(1), Thomas Augustin(1)