Comment by rademacher

The problem is high dimensions knowing the distribution or even characterizing it fully with data is incredibly difficult (curse of dimensionality). I think the real assumption in ML is just that there is some low dimensional space that characterizes the data well and ML algorithms find these directions where the data is constant.