Score-Based Hypothesis Testing for Unnormalized Models
Score-Based Hypothesis Testing for Unnormalized Models
Unnormalized statistical models play an important role in machine learning, statistics, and signal processing. In this paper, we derive a new hypothesis testing procedure for unnormalized models. Our approach is motivated by the success of score matching techniques that avoid the intensive computational costs of normalization constants in many high-dimensional …