Before revision:  We then ground the use of divergence measuresin three different application groups -- 1) Data Selection, 2) Learning Representation, and 3) Decisions in the Wild  . From this, we identify that Information-theoretic measures are prevalent for 1) and 3), and higher-order measures are common for 2).
After revision:  Further, to understand the common use-cases of these measures, we recognise three novel applications -- 1) Data Selection, 2) Learning Representation, and 3) Decisions in the Wild . From this, we identify that Information-theoretic measures are prevalent for 1) and 3), and higher-order measures are common for 2).