You are right, but the point I was making that in ml in general those are not of high importance and this already holds for rather basal questions like:

"For your chosen learning algorithm, under which conditions holds that: in expectation over all training datasets of size n, the Bayes risk is not monotonously increasing with n"

One would think that this question is of rather central importance. Yet no-one cares, and answering this question is non-trivial for linear classification already. Stats cares a lot about this question. While the math behind both fields is the same, (all applied math is a subset of math, except if you people who identify as one of both) the communities have different goals.