Last-layer empirical Bayes trains a normalizing-flow prior on the final layer by maximizing expected log-likelihood, and matches but does not beat existing uncertainty quantification methods.
NICE : Non-linear independent components estimation
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Last Layer Empirical Bayes
Last-layer empirical Bayes trains a normalizing-flow prior on the final layer by maximizing expected log-likelihood, and matches but does not beat existing uncertainty quantification methods.