Efficient Training of Probabilistic Neural Networks for Survival Analysis

Christian Marius Lillelund, Martin Magris, Christian Fischer Pedersen

Variational Inference (VI) is a commonly used technique for approximate Bayesian inference and uncertainty estimation in deep learning models, yet it comes at a computational cost,…