A Bayesian Model of node interaction in networks

We explore the problem of infering latent structure in the joint probability of categorical variables by factorizing them into a latent representation for categories and a weight matrix that encodes a PMF, mapping these latent representations to the mass associated with seeing categories appear together. The prior for latent category representations is… CONTINUE READING