Didrik Nielsen

Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam

2018 · arXiv (Cornell University)

Uncertainty computation in deep learning is essential to design robust and reliable systems. Variational inference (VI) is a promising approach for such computation, but requires more effort to implement and execute compared to maximum-likelihood methods. …