6 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ML2016★ 6 cited
Automatic Variational ABC
Alexander Moreno, Tameem Adel, Edward Meeds +2
Approximate Bayesian Computation (ABC) is a framework for performing likelihood-free posterior inference for simulation models. Stochastic Variational inference (SVI) is an appeali…
stat.ML2015★ 1 cited
Hamiltonian ABC
Edward Meeds, Robert Leenders, Max Welling
Approximate Bayesian computation (ABC) is a powerful and elegant framework for performing inference in simulation-based models. However, due to the difficulty in scaling likelihood…