Andrew C. Miller

Variational Boosting: Iteratively Refining Posterior Approximations

We propose a black-box variational inference method to approximate intractable distributions with an increasingly rich approximating class. Our method, variational boosting, iteratively refines an existing variational approximation by solving a sequence of optimization problems, allowing a trade-off…