Broadly speaking, variational approaches to posterior inference transform inference into an optimization problem by searching within some family of tractable approximate distributions Q for the distribution q ∈ Q that minimizes distributional divergence from an intractable target posterior p * .
under the mean-field assumption we confine our search to distributions Q that are fully factorized.