Computationally efficient goodness-of-fit tests through kernelized Stein discrepancy

Zhihan Huang, Ziang Niu

Models with intractable normalizing constants are widely used in statistics and machine learning. Assessing the adequacy of such models poses significant challenges: obtaining samp…