  This paper develops a new divergence that generalizes relative entropy and
can be used to compare probability measures without a requirement of absolute
continuity. We establish properties of the divergence, and in particular derive
and exploit a representation as an infimum convolution of optimal transport
cost and relative entropy. Also included are examples of computation and
approximation of the divergence, and the demonstration of properties that are
useful when one quantifies model uncertainty.
