ABI estimates the distance between posterior distributions via conditional quantile regression and uses adaptive rejection sampling with generative proposals to produce likelihood-free posterior approximations that converge to the true posterior.
Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology
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Likelihood-Free Adaptive Bayesian Inference via Nonparametric Distribution Matching
ABI estimates the distance between posterior distributions via conditional quantile regression and uses adaptive rejection sampling with generative proposals to produce likelihood-free posterior approximations that converge to the true posterior.