Bayesian Inference
Bayes' Theorem allows a program to infer the probabilities of likely causes from the probabilities of their effects, when what it is given are the probabilities of effects, given the causes.
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Federated Learning via Meta-Variational Dropout
Neural Information Processing Systems
To address these issues, we introduce a novel Bayesian meta-learning approach called meta-variational dropout (MetaVD).
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