Is it expected that independence assumption done in mean field variational inference is going to yield on average better approximations for low-dimensional models compared to high-dimensional ones?
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I think so because L$_2$ is not efficient in higher dimensions. See https://stats.stackexchange.com/q/99171/99274. – Carl Jun 19 '20 at 10:00