Rodemann, Julian

7 publications

ECML-PKDD 2025 Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration for Exosuit Personalization Julian Rodemann, Federico Croppi, Philipp Arens, Yusuf Sale, Julia Herbinger, Bernd Bischl, Eyke Hüllermeier, Thomas Augustin, Conor J. Walsh, Giuseppe Casalicchio

MLJ 2024 Learning De-Biased Regression Trees and Forests from Complex Samples Malte Nalenz, Julian Rodemann, Thomas Augustin

NeurIPS 2024 Reciprocal Learning Julian Rodemann, Christoph Jansen, Georg Schollmeyer

NeurIPS 2024 Statistical Multicriteria Benchmarking via the GSD-Front Christoph Jansen, Georg Schollmeyer, Julian Rodemann, Hannah Blocher, Thomas Augustin

UAI 2023 Approximately Bayes-Optimal Pseudo-Label Selection Julian Rodemann, Jann Goschenhofer, Emilio Dorigatti, Thomas Nagler, Thomas Augustin

ISIPTA 2023 In All Likelihoods: Robust Selection of Pseudo-Labeled Data Julian Rodemann, Christoph Jansen, Georg Schollmeyer, Thomas Augustin

UAI 2023 Robust Statistical Comparison of Random Variables with Locally Varying Scale of Measurement Christoph Jansen, Georg Schollmeyer, Hannah Blocher, Julian Rodemann, Thomas Augustin