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Christoph Jansen
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Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences
C Jansen, G Schollmeyer, T Augustin
International Journal of Approximate Reasoning 98, 112–131, 2018
392018
Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities
C Jansen, G Schollmeyer, T Augustin
Reflections on the Foundations of Probability and Statistics: Essays in …, 2022
92022
Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty
C Jansen, H Blocher, T Augustin, G Schollmeyer
International Journal of Approximate Reasoning, 2022
92022
Decision theory meets linear optimization beyond computation
C Jansen, T Augustin, G Schollmeyer
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 14th …, 2017
92017
Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems
G Schollmeyer, C Jansen, T Augustin
52017
Statistical models for partial orders based on data depth and formal concept analysis
H Blocher, G Schollmeyer, C Jansen
International Conference on Information Processing and Management of …, 2022
42022
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement
C Jansen, G Schollmeyer, H Blocher, J Rodemann, T Augustin
arXiv preprint arXiv:2306.12803, 2023
32023
Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement
C Jansen, G Schollmeyer, H Blocher, J Rodemann, T Augustin
Uncertainty in Artificial Intelligence (UAI 2023) 216, 941-952, 2023
32023
Depth functions for partial orders with a descriptive analysis of machine learning algorithms
H Blocher, G Schollmeyer, C Jansen, M Nalenz
arXiv preprint arXiv:2304.09872, 2023
32023
Statistical Comparisons of Classifiers by Generalized Stochastic Dominance
C Jansen, M Nalenz, G Schollmeyer, T Augustin
https://doi.org/10.48550/arXiv.2209.01857, 2022
32022
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity
C Jansen, G Schollmeyer, T Augustin
Mathematical Social Sciences 96, 49-62, 2018
32018
Multi-target Decision Making Under Conditions of Severe Uncertainty
C Jansen, G Schollmeyer, T Augustin
International Conference on Modeling Decisions for Artificial Intelligence …, 2023
22023
Decision Making with State-Dependent Preference Systems
C Jansen, T Augustin
International Conference on Information Processing and Management of …, 2022
22022
Updated network analysis of the imprecise probability community based on ISIPTA electronic proceedings
G Walter, C Jansen, T Augustin
Poster for ISIPTA 15, 2015
22015
In all likelihoods: Robust selection of pseudo-labeled data
J Rodemann, C Jansen, G Schollmeyer, T Augustin
International Symposium on Imprecise Probability: Theories and Applications …, 2023
12023
Statistical comparisons of classifiers by generalized stochastic dominance
C Jansen, M Nalenz, G Schollmeyer, T Augustin
Journal of Machine Learning Research 24 (231), 1-37, 2023
12023
Some contributions to decision making in complex information settings with imprecise probabilities and incomplete preferences
C Jansen
lmu, 2018
12018
Comparing Machine Learning Algorithms by Union-Free Generic Depth
H Blocher, G Schollmeyer, M Nalenz, C Jansen
arXiv preprint arXiv:2312.12839, 2023
2023
In all LikelihoodS: How to Reliably Select Pseudo-Labeled Data for Self-Training in Semi-Supervised Learning
J Rodemann, C Jansen, G Schollmeyer, T Augustin
arXiv preprint arXiv:2303.01117, 2023
2023
Decision Making under Complex Information with Applications to Statistics and Machine Learning
C Jansen
https://www.researchgate.net/publication …, 2022
2022
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