Bayesian Inference
Bayes' Theorem allows a program to infer the probabilities of likely causes from the probabilities of their effects, when what it is given are the probabilities of effects, given the causes.
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Deterministic Langevin Monte Carlo with Normalizing Flows for Bayesian Inference
Neural Information Processing Systems
We take advantage of NF preconditioning and NF based Metropolis-Hastings updates for a faster convergence.
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