Also, to add, when DGL bring this kind of mental model up they do so to motivate a kind of semi-parametric modeling where the design space changes progressively

Also, to add, when DGL bring this kind of mental model up they do so to motivate a kind of semi-parametric modeling where the design space changes progressively to move closer to the true model without growing so quickly as to make inference unstable. The problem being, of course, that this causes your algorithm run time to blow out to something cubic, I think, and so you have a beautiful model that loses out on search error.