  In this note, we study the relationship between the variational gap and the
variance of the (log) likelihood ratio. We show that the gap can be upper
bounded by some form of dispersion measure of the likelihood ratio, which
suggests the bias of variational inference can be reduced by making the
distribution of the likelihood ratio more concentrated, such as via averaging
and variance reduction.
