Investigating Batch Inference in a Sequential Monte Carlo Framework for Neural Networks

Andrew Millard, Joshua Murphy, Peter Green +1

Bayesian inference allows us to define a posterior distribution over the weights of a generic neural network (NN). Exact posteriors are usually intractable, in which case approxima…