arXiv cs.AI
· Papers
Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance
arXiv:2607.25376v1 Announce Type: cross Abstract: 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,