Volodimir Begy

Likelihood-free MCMC with Amortized Approximate Ratio Estimators

Posterior inference with an intractable likelihood is becoming an increasingly common task in scientific domains which rely on sophisticated computer simulations. Typically, these forward models do not admit tractable densities forcing practitioners to rely on approximations. This work introduces a…