Variational Gaussian Dropout is not Bayesian

8 Nov 2017Jiri HronAlexander G. de G. MatthewsZoubin Ghahramani

Gaussian multiplicative noise is commonly used as a stochastic regularisation technique in training of deterministic neural networks. A recent paper reinterpreted the technique as a specific algorithm for approximate inference in Bayesian neural networks; several extensions ensued... (read more)

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