Author

Idan Mehalel

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Preprint Aug 2026

Stochastic Autoregressive Learning

It is shown that stochastic autoregressive learning fundamentally differs from the deterministic theory, and that CoT learning at scale $\varepsilon$ is upper-bounded by base learning at scale $\varepsilon/M^2$, whereas e2e learning at scale $\varepsilon$ is upper-bounded, up to logarithmic factors, by $(M/\varepsilon)...

Ilan Doron-Arad, Idan Mehalel, Elchanan Mossel · 1 citation