Continuous Optimization for p-adic Models
arXiv:2609.25501v1 Announce Type: cross Abstract: We present the first method for native, continuous gradient descent for machine learning models with $p$-adic parameters. Existing native optimizers are discrete, mostly combinatorial searches, as the $p$-adic numbers $\mathbb{Q}_p$ are totally disc…
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- 2026-09-24 04:00 · arXiv stat.ML
Continuous Optimization for p-adic Models