Talks

Invited Talks and Conference Presentations

  • Construction of asymptotic confidence bands for the jump curve in bivariate regression problems, Doctoral Students Meeting of the Stochastics Group, Kaiserslautern, 2017
  • Construction of asymptotic confidence bands for the jump curve in bivariate regression problems, German Probability and Statistics Days, Freiburg, 2018
  • Adaptive confidence intervals for kink estimation, European Conference on Data Analysis (ECDA), Paderborn, 2018
  • Adaptive confidence sets for kink-location and kink-size in nonparametric regression, DAGStat, Munich, 2019
  • Confidence sets for change-point problems in nonparametric regression, Seminar of the Working Group for Probability Theory, Paderborn, 2019
  • Preselection bandits, International Conference on Machine Learning (ICML), digital conference, 2020
  • Preference-based bandit algorithms, European Conference on Data Analysis (ECDA), digital conference, 2021
  • Identification of the generalized Condorcet winner in multi-dueling bandits, Advances in Neural Information Processing Systems (NeurIPS), digital conference, 2021
  • Preference-based bandit algorithms, DAGStat, Hamburg, 2022
  • Stochastic contextual dueling bandits under linear stochastic transitivity models, International Conference on Machine Learning (ICML), hybrid conference, Baltimore, US, 2022
  • On the difficulty of epistemic uncertainty quantification in machine learning: The case of direct uncertainty estimation through loss minimisation, Departmental Colloquium, Department of Statistics, LMU, 2022
  • Pitfalls of epistemic uncertainty quantification through loss minimisation, Advances in Neural Information Processing Systems (NeurIPS), hybrid conference, New Orleans, US, 2022
  • On the fundamental flaw of quantifying epistemic uncertainty through loss minimisation, Workshop on Uncertainty in Machine Learning (WUML), Gent, Belgium, 2023
  • Towards more efficient approximation methods for explainable artificial intelligence, International Symposium of the ICSC, Heidelberg, 2023
  • Pitfalls of epistemic uncertainty quantification through loss minimisation, Uncertainty in AI Reading Group, 2023
  • Multi-armed bandits with censored consumption of resources, ECML-PKDD, Turin, 2023
  • Identifying Copeland winners in dueling bandits with indifferences, Seminar of the Working Group "Intelligent Systems and Data Mining" of the University of Castilla-La Mancha, Albacete, 2023
  • The fundamental issues of evidential deep learning, Interdisciplinary Statistics Colloquium of the Universities of Marburg and Giessen, 2024

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