Melanie F. Pradier

Projected BNNs: Avoiding weight-space pathologies by learning latent representations of neural network weights

2018 · arXiv (Cornell University)

As machine learning systems get widely adopted for high-stake decisions, quantifying uncertainty over predictions becomes crucial. While modern neural networks are making remarkable gains in terms of predictive accuracy, characterizing uncertainty over the parameters of …