Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering

Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach

Generative models lack rigorous statistical guarantees for their outputs and are therefore unreliable in safety-critical applications. In this work, we propose Sequential Conformal…