Approximate Bayesian Computation with the Sliced-Wasserstein Distance

28 Oct 2019Kimia NadjahiValentin De BortoliAlain DurmusRoland BadeauUmut Şimşekli

Approximate Bayesian Computation (ABC) is a popular method for approximate inference in generative models with intractable but easy-to-sample likelihood. It constructs an approximate posterior distribution by finding parameters for which the simulated data are close to the observations in terms of summary statistics... (read more)

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