Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks

Sanket Jantre, Nathan M. Urban, Xiaoning Qian +1

Bayesian inference for neural networks, or Bayesian deep learning, has the potential to provide well-calibrated predictions with quantified uncertainty and robustness. However, the…