2026
Amortising Inference and Meta-Learning Priors in Neural Networks
ICLR 2026poster
One of the core facets of Bayesianism is in the updating of prior beliefs in light of new evidence$\textemdash$so how can we maintain a Bayesian approach if we have no prior beliefs in the first place? This is one of the central challenges in the field of Bayesian deep learning, where it is not clea…