That is, we assume that the members of variational family Q are dimensional-wise independent, meaning that the posterior q can be writ- The simplicity of this form makes the estimation of ELBO very easy.
it also leads to a particular training difficulty called posterior collapse, where the KL divergence term becomes zero and the factorized variational posterior collapses to the prior.