Transformed Samplers with Variance Reduction
The research extends exact control variates from simple reference distributions to any complex target distribution using learned change of variables, like normalizing flows. The key finding is that Markov kernels and their solutions are preserved under these transformations, allowing for explicit control variates in the latent space. This method provides consistent estimators for various samplers and shows practical utility through diagnostics based on flow draws.