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Mario V. Wüthrich

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#machine learning Preprint Sep 2026

A Practical Guide on Graphical Model Validation

This manuscript formalizes the most popular model validation tools used in general insurance actuarial modeling. These include graphical tools like calibration plots, actual-vs-expected plots, lift charts, Murphy diagrams, as well as classical statistical tools such as Bregman losses, deviance losses, elementary losses...

Mario V. Wüthrich · 0 citations

Preprint Aug 2026

Many Optimizers But Only One Training Path: Repeated Resampling for Adaptive Optimizer Selection

Two variants of ROR are compared on MNIST, Fashion-MNIST, and two motor insurance claim-count models to support short scouting as a practical way to search over optimizers without completing every candidate run.

Ronald Richman, Mario V. Wüthrich · 0 citations