Items where Author is "Schollmeyer, Georg"

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

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

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