Variational Bayesian dropout: pitfalls and fixes

ICML 2018 Jiri HronAlexander G. de G. MatthewsZoubin Ghahramani

Dropout, a stochastic regularisation technique for training of neural networks, has recently been reinterpreted as a specific type of approximate inference algorithm for Bayesian neural networks. The main contribution of the reinterpretation is in providing a theoretical framework useful for analysing and extending the algorithm... (read more)

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