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Research

Dr Christoph Jansen

Assistant Professor (Lecturer) in Computer Science, Data Science

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  1. 2024
  2. Published

    Semi-supervised Learning Guided by the Generalized Bayes Rule Under Soft Revision

    Dietrich, S., Rodemann, J. & Jansen, C., 10/08/2024, Combining, Modelling and Analyzing Imprecision, Randomness and Dependence. Cham: Springer, p. 110-117 8 p. (Advances in Intelligent Systems and Computing (AISC); vol. 1458).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Comparing machine learning algorithms by union-free generic depth

    Blocher, H., Schollmeyer, G., Nalenz, M. & Jansen, C., 30/06/2024, In: International Journal of Approximate Reasoning. 169, 109166.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  4. Published

    Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision

    Dietrich, S., Rodemann, J. & Jansen, C., 24/05/2024, Arxiv.

    Research output: Working paper › Preprint

  5. Published

    Some contributions to decision making in complex information settings with imprecise probabilities and incomplete preferences: Theoretical and algorithmic results

    Jansen, C., 2024

    Research output: Thesis › Doctoral Thesis

  6. 2023
  7. Published

    Robust statistical comparison of random variables with locally varying scale of measurement

    Jansen, C., Schollmeyer, G., Blocher, H., Rodemann, J. & Augustin, T., 31/07/2023, Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence. PMLR, (PMLR; vol. 216).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  8. Published

    Statistical Comparisons of Classifiers by Generalized Stochastic Dominance

    Jansen, C., Nalenz, M., Schollmeyer, G. & Augustin, T., 31/07/2023, In: Journal of Machine Learning Research. 24, 37 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  9. Published

    Depth functions for partial orders with a descriptive analysis of machine learning algorithms

    Blocher, H., Schollmeyer, G., Jansen, C. & Nalenz, M., 14/07/2023, Proceedings of the Thirteenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA 2023). PMLR, p. 59-71 13 p. (PMLR; vol. 215).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    In All Likelihoods: Robust Selection of Pseudo-Labeled Data

    Rodemann, J., Jansen, C., Schollmeyer, G. & Augustin, T., 14/07/2023, Proceedings of the Thirteenth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA '23). PMLR, p. 412-425 14 p. (PMLR; vol. 215).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  11. Published

    Multi-target Decision Making Under Conditions of Severe Uncertainty

    Jansen, C., Schollmeyer, G. & Augustin, T., 19/05/2023, Modeling Decisions for Artificial Intelligence: 20th International Conference, MDAI 2023, Umeå, Sweden, June 19–22, 2023, Proceedings. Torra, V. & Narukawa, Y. (eds.). Cham: Springer, p. 45-57 18 p. (Lecture Notes in Artificial Intelligence; vol. 13890).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  12. Published

    Quantifying Degrees of E-admissibility in Decision Making with Imprecise Probabilities

    Jansen, C., Schollmeyer, G. & Augustin, T., 14/01/2023, Reflections on the Foundations of Probability and Statistics: Essays in Honor of Teddy Seidenfeld. Augustin, T., Gagliardi Cozman, F. & Wheeler, G. (eds.). Cham: Springer, p. 319-346 28 p. (Theory and Decision Library A; vol. 54).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter (peer-reviewed) › peer-review

  13. 2022
  14. Published

    Risk aversion over finite domains

    Baccelli, J., Schollmeyer, G. & Jansen, C., 30/09/2022, In: Theory and Decision. 93, p. 371-397 27 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  15. Published

    Decision making with state-dependent preference systems

    Jansen, C. & Augustin, T., 4/07/2022, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Cham: Springer, ( Communications in Computer and Information Science; vol. 1601).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  16. Published

    Statistical Models for Partial Orders Based on Data Depth and Formal Concept Analysis

    Blocher, H., Schollmeyer, G. & Jansen, C., 4/07/2022, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Ciucci, D., Couso, I., Medina, J., Ślęzak, D., Petturiti, D., Bouchon-Meunier, B. & Yager, R. R. (eds.). Cham: Springer, (Communications in Computer and Information Sciences; vol. 1602).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  17. Published

    Information efficient learning of complexly structured preferences: Elicitation procedures and their application to decision making under uncertainty

    Jansen, C., Blocher, H., Augustin, T. & Schollmeyer, G., 31/05/2022, In: International Journal of Approximate Reasoning. 144, p. 69-91 23 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  18. 2018
  19. Published

    A probabilistic evaluation framework for preference aggregation reflecting group homogeneity

    Jansen, C., Schollmeyer, G. & Augustin, T., 30/11/2018, In: Mathematical Social Sciences. 96, p. 49-62 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  20. Published

    Concepts for decision making under severe uncertainty with partial ordinal and partial cardinal preferences

    Jansen, C., Schollmeyer, G. & Augustin, T., 31/07/2018, In: International Journal of Approximate Reasoning. 98, p. 112-131 20 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  21. 2017
  22. Published

    A simple descriptive method for multidimensional item response theory based on stochastic dominance

    Schollmeyer, G., Jansen, C. & Augustin, T., 31/08/2017, Technical Reports, Department of Statistics, LMU Munich, 210 30 p.

    Research output: Contribution to specialist publication › Technical Report › peer-review

  23. Published

    Detecting stochastic dominance for poset-valued random variables as an example of linear programming on closure systems

    Schollmeyer, G., Jansen, C. & Augustin, T., 31/08/2017, Technical Reports, Department of Statistics, LMU Munich, 209 69 p.

    Research output: Contribution to specialist publication › Technical Report › peer-review

  24. Published

    Decision Theory Meets Linear Optimization Beyond Computation

    Jansen, C., Schollmeyer, G. & Augustin, T., 15/06/2017, Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 14th European Conference, ECSQARU 2017, Lugano, Switzerland, July 10–14, 2017, Proceedings. Antonucci, A., Cholvy, L. & Papini, O. (eds.). Cham: Springer, p. 329-339 11 p. (Lecture Notes in Computer Science; vol. 10369).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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