Suppose I want to learn a posterior that stays close to a safe value, say
E_q(z)[||z-z_safe||^2] = r
for some soft trust radius r
. This isn’t quite Bayesian because I’m constraining the learned posterior q(z)
. What is the state of the art in performing inference in these semi-Bayesian settings?