4 code implementations • 13 Oct 2021 • Joeri Hermans, Arnaud Delaunoy, François Rozet, Antoine Wehenkel, Volodimir Begy, Gilles Louppe
We present extensive empirical evidence showing that current Bayesian simulation-based inference algorithms can produce computationally unfaithful posterior approximations.
no code implementations • 13 Oct 2020 • Volodimir Begy, Erich Schikuta
This work presents a novel posterior inference method for models with intractable evidence and likelihood functions.
5 code implementations • ICML 2020 • Joeri Hermans, Volodimir Begy, Gilles Louppe
This work introduces a novel approach to address the intractability of the likelihood and the marginal model.
