Zubarev P-adic Polynomial Regression (UMLLR init)

Stochastic optimization with Mahler basis functions

0.4302 Avg p-adic loss
3,643 Avg non-zero coefficients
10,000 Avg iterations
13,559 Total test samples

Method Description

This model implements Zubarev's p-adic polynomial regression method from arXiv:2503.23488. Key features:

Cross-validation Results

FoldMean p-adic lossNon-zero coeffsIterationsTest samples
Fold 00.43413,65310,0002,731
Fold 10.42483,67110,0002,662
Fold 20.43103,66110,0002,702
Fold 30.43123,60710,0002,741
Fold 40.43003,62310,0002,723