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stat.ML2024
Reciprocal Learning
Julian Rodemann, Christoph Jansen, Georg Schollmeyer
We demonstrate that a wide array of machine learning algorithms are specific instances of one single paradigm: reciprocal learning. These instances range from active learning over…
stat.ML2024
Statistical Multicriteria Benchmarking via the GSD-Front
Christoph Jansen, Georg Schollmeyer, Julian Rodemann +2
Given the vast number of classifiers that have been (and continue to be) proposed, reliable methods for comparing them are becoming increasingly important. The desire for reliabili…
stat.ML2024
Semi-Supervised Learning guided by the Generalized Bayes Rule under Soft Revision
Stefan Dietrich, Julian Rodemann, Christoph Jansen
We provide a theoretical and computational investigation of the Gamma-Maximin method with soft revision, which was recently proposed as a robust criterion for pseudo-label selectio…