2025
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
ICML 2025poster
In this work, we explore the theoretical properties of conditional deep generative models under the statistical framework of distribution regression where the response variable lies in a high-dimensional ambient space but concentrates around a potentially lower-dimensional manifold. More specificall…