Items where Author is "Jansen, Christoph"

Journal Article

Blocher, Hannah and Schollmeyer, Georg and Nalenz, Malte and Jansen, Christoph (2024) Comparing machine learning algorithms by union-free generic depth. International Journal of Approximate Reasoning, 169: 109166. ISSN 0888-613X

Jansen, Christoph and Nalenz, Malte and Schollmeyer, Georg and Augustin, Thomas (2023) Statistical Comparisons of Classifiers by Generalized Stochastic Dominance. Journal of Machine Learning Research, 24. ISSN 1532-4435

Schollmeyer, Georg and Jansen, Christoph and Augustin, Thomas (2017) Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems. Technical Reports, Department of Statistics, LMU Munich, 209.

Schollmeyer, Georg and Jansen, Christoph and Augustin, Thomas (2017) A simple descriptive method for multidimensional item response theory based on stochastic dominance. Technical Reports, Department of Statistics, LMU Munich, 210.

Contribution in Book/Report/Proceedings

Dietrich, Stefan and Rodemann, Julian and Jansen, Christoph (2024) Semi-supervised Learning Guided by the Generalized Bayes Rule Under Soft Revision. In: Combining, Modelling and Analyzing Imprecision, Randomness and Dependence :. Advances in Intelligent Systems and Computing (AISC) . Springer, Cham, pp. 110-117. ISBN 9783031659928

Jansen, Christoph and Schollmeyer, Georg and Blocher, Hannah and Rodemann, Julian and Augustin, Thomas (2023) Robust statistical comparison of random variables with locally varying scale of measurement. In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence :. PMLR . PMLR.

Blocher, Hannah and Schollmeyer, Georg and Jansen, Christoph and Nalenz, Malte (2023) Depth functions for partial orders with a descriptive analysis of machine learning algorithms. In: Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2023) :. PMLR . PMLR, pp. 59-71.

Rodemann, Julian and Jansen, Christoph and Schollmeyer, Georg and Augustin, Thomas (2023) In All Likelihoods : Robust Selection of Pseudo-Labeled Data. In: Proceedings of the Thirteenth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA '23) :. PMLR . PMLR, pp. 412-425.

Jansen, Christoph and Schollmeyer, Georg and Augustin, Thomas (2023) Multi-target Decision Making Under Conditions of Severe Uncertainty. In: Modeling Decisions for Artificial Intelligence : 20th International Conference, MDAI 2023, Umeå, Sweden, June 19–22, 2023, Proceedings. Lecture Notes in Artificial Intelligence . Springer, Cham, pp. 45-57. ISBN 9783031334979

Jansen, Christoph and Schollmeyer, Georg and Augustin, Thomas (2023) Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities. In: Reflections on the Foundations of Probability and Statistics : Essays in Honor of Teddy Seidenfeld. Theory and Decision Library A . Springer, Cham, pp. 319-346. ISBN 9783031154355

Jansen, Christoph and Augustin, Thomas (2022) Decision making with state-dependent preference systems. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems :. Communications in Computer and Information Science . Springer, Cham. ISBN 9783031089701

Blocher, Hannah and Schollmeyer, Georg and Jansen, Christoph (2022) Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis. In: Information Processing and Management of Uncertainty in Knowledge-Based Systems :. Communications in Computer and Information Sciences . Springer, Cham. ISBN 9783031089732

Jansen, Christoph and Schollmeyer, Georg and Augustin, Thomas (2017) Decision Theory Meets Linear Optimization Beyond Computation. In: Symbolic and Quantitative Approaches to Reasoning with Uncertainty : 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10–14, 2017, Proceedings. Lecture Notes in Computer Science . Springer, Cham, pp. 329-339. ISBN 9783319615806

Monograph

Dietrich, Stefan and Rodemann, Julian and Jansen, Christoph (2024) Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision. Other. Arxiv.

Thesis

Jansen, Christoph and Augustin, Thomas (2024) Some contributions to decision making in complex information settings with imprecise probabilities and incomplete preferences : Theoretical and algorithmic results. PhD thesis, Ludwig Maximilian Universität, München.