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stat.ML2025
Gaussian Processes and Reproducing Kernel Hilbert Spaces: Connections and Equivalences
Motonobu Kanagawa, Philipp Hennig, Dino Sejdinovic +1
This monograph studies the relations between two approaches using positive definite kernels: probabilistic methods using Gaussian processes, and non-probabilistic methods using rep…
stat.ML2025
All Models Are Miscalibrated, But Some Less So: Comparing Calibration with Conditional Mean Operators
Peter Moskvichev, Dino Sejdinovic
When working in a high-risk setting, having well calibrated probabilistic predictive models is a crucial requirement. However, estimators for calibration error are not always able…