5 Instead, we propose to minimize the KL divergence between the "expected" marginal distribution and the approximated "expected" marginal distribution: where τ is a term acting as a surrogate for the posterior distribution over w without the information from µ.
we seek to approximate µ not on its own, but as it functions in an environment representing its final context.