← Search

David Greenberg

2 accepted papers

2021

Benchmarking Simulation-Based Inference

AISTATS 2021poster

Recent advances in probabilistic modelling have led to a large number of simulation-based inference algorithms which do not require numerical evaluation of likelihoods. However, a public benchmark with appropriate performance metrics for such ’likelihood-free’ algorithms has been lacking. This has m…

2019

Automatic Posterior Transformation for Likelihood-Free Inference

ICML 2019oral

How can one perform Bayesian inference on stochastic simulators with intractable likelihoods? A recent approach is to learn the posterior from adaptively proposed simulations using neural network-based conditional density estimators. However, existing methods are limited to a narrow range of proposa…