2020
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models
AISTATS 2020poster
Score matching provides an effective approach to learning flexible unnormalized models, but its scalability is limited by the need to evaluate a second-order derivative. In this paper, we present a scalable approximation to a general family of learning objectives including score matching, by observi…