  A new upper bound on the relative entropy is derived as a function of the
total variation distance for probability measures defined on a common finite
alphabet. The bound improves a previously reported bound by Csisz\'ar and
Talata. It is further extended to an upper bound on the R\'enyi divergence of
an arbitrary non-negative order (including $\infty$) as a function of the total
variation distance.
