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Published in 2022 at "Entropy"
DOI: 10.3390/e24081097
Abstract: In this paper, we propose to leverage the Bayesian uncertainty information encoded in parameter distributions to inform the learning procedure for Bayesian models. We derive a first principle stochastic differential equation for the training dynamics…
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Keywords:
neural network;
bayesian neural;
learning rates;
control ... See more keywords