Sparse Uncertainty Representation in Deep Learning with Inducing Weights

Hippolyt Ritter, Martin Kukla, Cheng Zhang +1

Bayesian neural networks and deep ensembles represent two modern paradigms of uncertainty quantification in deep learning. Yet these approaches struggle to scale mainly due to memo…