Prior choice affects ability of Bayesian neural networks to identify unknowns

11 May 2020Daniele SilvestroTobias Andermann

Deep Bayesian neural networks (BNNs) are a powerful tool, though computationally demanding, to perform parameter estimation while jointly estimating uncertainty around predictions. BNNs are typically implemented using arbitrary normal-distributed prior distributions on the model parameters... (read more)

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