Random Function Priors for Correlation Modeling

Aonan Zhang, John W. Paisley

Abstract: The likelihood model of high dimensional data $X_n$ can often be expressed as $p(X_n|Z_n,\theta)$, where $\theta\mathrel{\mathop:}=(\theta_k)_{k\in[K]}$ is a collection of hidden features shared ac...