Pei-Hsuan Hsia

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance

It is demonstrated that Student's t yields better predictive performance than a Gaussian likelihood distribution, independent of the data distribution and MLP architecture (depth and width), and can also lead to shorter training times, while still being easy to implement.