Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations

Xin Bing, Florentina Bunea, Seth Strimas-Mackey +1

This paper studies the estimation of high-dimensional, discrete, possibly sparse, mixture models in topic models. The data consists of observed multinomial counts of $p$ words acro…