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Leroy Odunlami

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Preprint Oct 2026

When Does Training on Synthetic Data Provably Work?

This work derives finite-sample excess-error bounds when the real covariate distribution is absolutely continuous with respect to the synthetic distribution under a controlled density ratio, and recovers a bound in terms of the probability that a real sample lies outside the reach of the synthetic data, restoring a tra...

Leroy Odunlami, T. Riedlinger, Hanno Gottschalk · 0 citations

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