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Automatic Posterior Transformation for Likelihood-free Inference on March 24 #4

Open swagnercarena opened 4 years ago

swagnercarena commented 4 years ago

Greenberg et al. 2019 uses normalizing flows to perform Bayesian inference on simulators with intractable likelihoods. This seems close in spirit to what we're trying to do here, and a good review of this paper would be helpful.

makagan commented 4 years ago

A few other related references:

A paper on doing sequential neural likelihood estimation https://arxiv.org/abs/1805.07226

And probably too long for us, but a recent review on normalizing flows for density estimation and inference: https://arxiv.org/abs/1912.02762