We present a probabilistic framework for nonlinearities, based on doubly...
Gaussian graphical models (GGMs) are widely used for statistical modelin...
We introduce the truncated Gaussian graphical model (TGGM) as a novel
fr...
We utilize copulas to constitute a unified framework for constructing an...
Expectation maximization (EM) has recently been shown to be an efficient...
Learning multiple tasks across heterogeneous domains is a challenging pr...