arxiv
PublishedSeptember 4, 2026 at 4:00 AM
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Scaling Laws, Tabular Data and Actuarial Ratemaking Models
Publisher summary· verbatim
arXiv:2609.03106v1 Announce Type: new Abstract: Scaling laws in modern deep learning describe how held-out loss improves as model capacity, training data, and compute increase, often following power-law trends. We investigate whether analogous scaling regularities arise in actuarial ratemaking, wher
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Originally published on arxiv ↗