Jul 2026
Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance
In Bayesian neural networks (BNNs), variational inference is a widely adopted framework for modeling uncertainty in a distributional way, with the evidence lower bound (ELBO) serving as the standard objective function. Several distributions contribute to the ELBO loss, such as the prior, approximated posterior, and lik...
Pei-Hsuan Hsia, L. Heyen, Arvid Weyrauch et al.
· arXiv.org · 0 citations