Georg Schollmeyer

34 papers A* 2A 1B 1C 1Journal 20Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Arrow: From Impossibility to Possibilities in Multi-Criteria Benchmarking. CoRR Polina Gordienko, Christoph Jansen, Julian Rodemann, Georg Schollmeyer
2025	J	`jnl`	Data depth functions for non-standard data by use of formal concept analysis. J. Multivar. Anal. Hannah Blocher, Georg Schollmeyer
2024	J	`jnl`	Comparing machine learning algorithms by union-free generic depth. Int. J. Approx. Reason. Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
2024	A*	`conf`	Reciprocal Learning. NeurIPS Julian Rodemann, Christoph Jansen, Georg Schollmeyer
2024	J	`jnl`	Reciprocal Learning. CoRR Julian Rodemann, Christoph Jansen, Georg Schollmeyer
2024	A*	`conf`	Statistical Multicriteria Benchmarking via the GSD-Front. NeurIPS Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
2024	J	`jnl`	Statistical Multicriteria Benchmarking via the GSD-Front. CoRR Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin
2023	J	`jnl`	A note on the connectedness property of union-free generic sets of partial orders. CoRR Georg Schollmeyer, Hannah Blocher
2023	J	`jnl`	Comparing Machine Learning Algorithms by Union-Free Generic Depth. CoRR Hannah Blocher, Georg Schollmeyer, Malte Nalenz, Christoph Jansen
2023	J	`jnl`	Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms. CoRR Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
2023	—	`conf`	Depth functions for partial orders with a descriptive analysis of machine learning algorithms. ISIPTA Hannah Blocher, Georg Schollmeyer, Christoph Jansen, Malte Nalenz
2023	J	`jnl`	In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning. CoRR Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023	—	`conf`	In all likelihoods: robust selection of pseudo-labeled data. ISIPTA Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023	B	`conf`	Multi-target Decision Making Under Conditions of Severe Uncertainty. MDAI Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2023	J	`jnl`	Neural network model for imprecise regression with interval dependent variables. Neural Networks Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson
2023	J	`jnl`	Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement. CoRR Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
2023	A	`conf`	Robust statistical comparison of random variables with locally varying scale of measurement. UAI Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin
2023	J	`jnl`	Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. J. Mach. Learn. Res. Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
2022	J	`jnl`	Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. Int. J. Approx. Reason. Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
2022	J	`jnl`	Multi-Target Decision Making under Conditions of Severe Uncertainty. CoRR Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2022	J	`jnl`	Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. CoRR Christoph Jansen, Malte Nalenz, Georg Schollmeyer, Thomas Augustin
2022	—	`conf`	Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis. IPMU (2) Hannah Blocher, Georg Schollmeyer, Christoph Jansen
2021	—	`conf`	Computing Simple Bounds for Regression Estimates for Linear Regression with Interval-valued Covariates. ISIPTA Georg Schollmeyer
2021	J	`jnl`	Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty. CoRR Christoph Jansen, Hannah Blocher, Thomas Augustin, Georg Schollmeyer
2021	—	`conf`	Towards Improving Electoral Forecasting by Including Undecided Voters and Interval-valued Prior Knowledge. ISIPTA Dominik Kreiss, Georg Schollmeyer, Thomas Augustin
2019	—	`conf`	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 Georg Schollmeyer
2019	—	`conf`	Constructing Simulation Data with Dependency Structure for Unreliable Single-Cell RNA-Sequencing Data Using Copulas. ISIPTA Cornelia Fuetterer, Georg Schollmeyer, Thomas Augustin
2018	J	`jnl`	A probabilistic evaluation framework for preference aggregation reflecting group homogeneity. Math. Soc. Sci. Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2018	J	`jnl`	Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences. Int. J. Approx. Reason. Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2017	—	`conf`	Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences. ISIPTA Christoph Jansen, Georg Schollmeyer, Thomas Augustin
2017	C	`conf`	Decision Theory Meets Linear Optimization Beyond Computation. ECSQARU Christoph Jansen, Thomas Augustin, Georg Schollmeyer
2017	J	`jnl`	On the testability of coarsening assumptions: A hypothesis test for subgroup independence. Int. J. Approx. Reason. Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
2016	—	`conf`	Testing of Coarsening Mechanisms: Coarsening at Random Versus Subgroup Independence. SMPS Julia Plass, Marco E. G. V. Cattaneo, Georg Schollmeyer, Thomas Augustin
2015	J	`jnl`	Statistical modeling under partial identification: Distinguishing three types of identification regions in regression analysis with interval data. Int. J. Approx. Reason. Georg Schollmeyer, Thomas Augustin