In this paper, we provide a family of dynamic programming based algorith...
Score matching is an alternative to maximum likelihood (ML) for estimati...
We study the problem of progressive distillation: Given a large, pre-tra...
Noise Contrastive Estimation (NCE) is a popular approach for learning
pr...
Normalizing flows are a widely used class of latent-variable generative
...
We prove that even in average case, the Euclidean Traveling Salesman Pro...