What Are Bayesian Neural Network Posteriors Really Like?
Pavel Izmailov 1 Sharad Vikram 2 Matthew D. Hoffman 2 Andrew Gordon Wilson 1
Abstract for neural networks promises improved predictions, reli-
able uncertainty estimates, and principled model compar-
The posterior over Bayesian neural network ison, naturally supporting active learning, continual learn-
(BNN) parameters is extremely high-dimensional ing, ...


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