3 papers
cs.IT2026
Universal Outlier Hypothesis Testing via Mean- and Median-Based Tests
Bernhard C. Geiger, Tobias Koch, Josipa Mihaljević +1
Universal outlier hypothesis testing refers to a hypothesis testing problem where one observes a large number of length- sequences -- the majority of which are distributed accor…
cs.LG2025
On the Role of Priors in Bayesian Causal Learning
Bernhard C. Geiger, Roman Kern
In this work, we investigate causal learning of independent causal mechanisms from a Bayesian perspective. Confirming previous claims from the literature, we show in a didactically…
cs.LG2024
Constraining Anomaly Detection with Anomaly-Free Regions
Maximilian Toller, Hussain Hussain, Roman Kern +1
We propose the novel concept of anomaly-free regions (AFR) to improve anomaly detection. An AFR is a region in the data space for which it is known that there are no anomalies insi…