Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

ICLR 2019 Danijar HafnerDustin TranTimothy LillicrapAlex IrpanJames Davidson

Obtaining reliable uncertainty estimates of neural network predictions is a long standing challenge. Bayesian neural networks have been proposed as a solution, but it remains open how to specify their prior... (read more)

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