Hanno Gottschalk

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...