Before revision:  We show that the surrogate loss function for AP is highly non-convex and more complicated than that of AUROC. We cast the objective into a sum of {\it dependent compositional functions with inner functions dependent on random variables of the outer level.
After revision:  We cast the objective into a sum of {\it dependent compositional functions with inner functions dependent on random variables of the outer level.