New Study Revisits Laplace Approximation, Validating It as an ‘Effortless’ Method for Bayesian Deep Learning
Bayesian neural networks (BNNs) have been shown to offer practical benefits for model application, such as improved predictive uncertainty quantification and model selection compared to other NNs. But the practical deployment of BNNs has been limited,
Bayesian neural networks (BNNs) have been shown to offer practical benefits for model application, such as improved predictive uncertainty quantification and model selection compared to other NNs. But the practical deployment of BNNs has been limited,
BNNs, practical deployment, other NNs, model selection, model application, practical benefits, predictive uncertainty quantification, Bayesian neural networks
