Then, the variational lowerbound is defined as where θ (m) is the m-th sample from the variational posterior q (Blundell et al., 2015) via the Gaussian reparametrization in Kingma and Welling (2013).
a noticeable omission in their model is that they do not explicitly model parameter covariance or uncertainty.