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Published in 2021 at "Entropy"
DOI: 10.3390/e23121629
Abstract: We developed Variational Laplace for Bayesian neural networks (BNNs), which exploits a local approximation of the curvature of the likelihood to estimate the ELBO without the need for stochastic sampling of the neural-network weights. The…
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Keywords:
regularization approximate;
approximate variational;
gradient regularization;
variational inference ... See more keywords