cs.LG, stat.ML

When Models Don’t Collapse: On the Consistency of Iterative MLE

arXiv:2505.19046v3 Announce Type: replace
Abstract: The widespread use of generative models has created a feedback loop, in which each generation of models is trained on data partially produced by its predecessors. This process has raised concerns abo…