Author

Ronald Richman

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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

#machine learning Preprint Sep 2026

Scaling Laws, Tabular Data and Actuarial Ratemaking Models

It is suggested that effective scaling on actuarial tabular tasks depends on architecture and loss function objective design, with simple increases in Transformer size providing limited gains.

Ronald Richman · 1 citation