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A Stochastic--Geometric Theory of Scaling Laws in Grokking

stat.ML · 2026-06-29 · unverdicted · novelty 6.0

A stochastic-geometric model of solution-space topology under Adam derives explicit scaling laws for grokking transition time as a function of learning rate, batch size, and L2 coefficient.

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  • A Stochastic--Geometric Theory of Scaling Laws in Grokking stat.ML · 2026-06-29 · unverdicted · none · ref 7

    A stochastic-geometric model of solution-space topology under Adam derives explicit scaling laws for grokking transition time as a function of learning rate, batch size, and L2 coefficient.