Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning

Matthew Ashman, Tommy Rochussen, Adrian Weller

The global inducing point variational approximation for BNNs is based on using a set of inducing inputs to construct a series of conditional distributions that accurately approxima…