Flexible Approximate Inference via Stratified Normalizing Flows

Chris Cundy, Stefano Ermon

Abstract: A major obstacle to forming posterior distributions in machine learning is the difficulty of evaluating partition functions. Monte-Carlo approaches are unbiased, but can suffer from high variance. ...