Sparsifying Stochasticity via Deep Weight Factorization
This paper explores partial stochasticity in Bayesian neural networks by applying deep weight factorization to the prior scales.
This paper explores partial stochasticity in Bayesian neural networks by applying deep weight factorization to the prior scales.