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Anzahl der Publikationen: 14
Hochschulschrift
Jansen, Christoph
(2015):
Decision making under partial information using precise and imprecise probabilistic models.
Masterarbeit,
Ludwig-Maximilians-Universität München
[PDF, 1MB]
[PDF, 1MB]
Zeitschriftenartikel
Blocher, Hannah 
ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469 und Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687
(2024):
Comparing machine learning algorithms by union-free generic depth.
In: International Journal of Approximate Reasoning, Bd. 169, 109166
[PDF, 1MB]
ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469 und Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687
(2024):
Comparing machine learning algorithms by union-free generic depth.
In: International Journal of Approximate Reasoning, Bd. 169, 109166
[PDF, 1MB]
Baccelli, Jean; Schollmeyer, Georg und Jansen, Christoph
(2021):
Risk aversion over finite domains.
In: Theory and Decision, Bd. 93, Nr. 2: S. 371-397
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(2018):
Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences.
In: International Journal of Approximate Reasoning, Bd. 98:
112 - 131
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(2018):
A probabilistic evaluation framework for preference aggregation reflecting group homogeneity.
In: Mathematical Social Sciences, Bd. 96:
49 - 62
Paper
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(24. April 2018):
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences.
Department of Statistics: Technical Reports, Nr. 216
[PDF, 672kB]
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems.
Department of Statistics: Technical Reports, Nr. 209
[PDF, 2MB]
Schollmeyer, Georg; Jansen, Christoph und Augustin, Thomas
(31. August 2017):
A simple descriptive method for multidimensional item response theory based on stochastic dominance.
Department of Statistics: Technical Reports, Nr. 210
[PDF, 1MB]
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(5. August 2016):
Probabilistic Evaluation of Preference Aggregation Functions: A Statistical Approach in Social Choice Theory.
Department of Statistics: Technical Reports, Nr. 193
[PDF, 599kB]
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(5. August 2016):
A Probabilistic Evaluation Framework for Preference Aggregation Reflecting Group Homogeneity.
Department of Statistics: Technical Reports, Nr. 193
[PDF, 653kB]
Konferenzbeitrag
Blocher, Hannah ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Jansen, Christoph und Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469
(2023):
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms.
International Symposium on Imprecise Probability: Theories and Applications, Oviedo, Spain, 11-14 July 2023.
In: Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications,
S. 59-71
ORCID: https://orcid.org/0009-0008-3565-9709; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886; Jansen, Christoph und Nalenz, Malte ORCID: https://orcid.org/0000-0003-3439-4469
(2023):
Depth Functions for Partial Orders with a Descriptive Analysis of Machine Learning Algorithms.
International Symposium on Imprecise Probability: Theories and Applications, Oviedo, Spain, 11-14 July 2023.
In: Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications,
S. 59-71
Rodemann, Julian ORCID: https://orcid.org/0000-0001-6112-4136; Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886 und Augustin, Thomas ORCID: https://orcid.org/0000-0002-1854-6226
(2023):
In All Likelihoods. Robust Selection of Pseudo-Labeled Data.
13th International Symposium on Imprecise Probabilities - Theories and Applications (ISIPTA), Oviedo, Spain, 11. - 14. Juli 2023.
Miranda, Enrique; Montes, Ignacio; Quaeghebeur, Erik und Vantaggi, Barbara (Hrsg.):
In: International Symposium on Imprecise Probability: Theories and Applications, Proceedings of Machine Learning Research
Bd. 215
MLResearchPress. S. 412-425
ORCID: https://orcid.org/0000-0001-6112-4136; Jansen, Christoph ORCID: https://orcid.org/0000-0002-5648-4687; Schollmeyer, Georg ORCID: https://orcid.org/0000-0002-6199-1886 und Augustin, Thomas ORCID: https://orcid.org/0000-0002-1854-6226
(2023):
In All Likelihoods. Robust Selection of Pseudo-Labeled Data.
13th International Symposium on Imprecise Probabilities - Theories and Applications (ISIPTA), Oviedo, Spain, 11. - 14. Juli 2023.
Miranda, Enrique; Montes, Ignacio; Quaeghebeur, Erik und Vantaggi, Barbara (Hrsg.):
In: International Symposium on Imprecise Probability: Theories and Applications, Proceedings of Machine Learning Research
Bd. 215
MLResearchPress. S. 412-425
Jansen, Christoph; Augustin, Thomas und Schollmeyer, Georg
(2017):
Decision Theory Meets Linear Optimization Beyond Computation.
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10--14, 2017, Proceedings, Lugano, Switzerland, 10 - 14 July 2017.
Antonucci, Alessandro; Cholvy, Laurence und Papini, Odile (Hrsg.):
Cham: Springer International Publishing. S. 329-339
Jansen, Christoph; Schollmeyer, Georg und Augustin, Thomas
(2017):
Concepts for Decision Making under Severe Uncertainty with Partial Ordinal and Partial Cardinal Preferences.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10. - 14. Juli 2017.
Antonucci, Alessandro; Corani, Giorgio; Couso, Inés und Destercke, Sébastien (Hrsg.):
Proceedings of Machine Learning Research.
Bd. 62
PMLR. S. 181-192