Shashaank Aiyer

A Theoretical Framework for Statistical Evaluability of Generative Models

Statistical evaluation aims to estimate the generalization performance of a model using held-out i.i.d. test data sampled from the ground-truth distribution. In supervised learning settings such as classification, performance metrics such as error rate are well-defined, and test error reliably appro…