ETH Zürich Identifies Priors That Boost Bayesian Deep Learning Models
It’s well known across the machine learning community that choosing the right prior — an initial belief re an event expressed in terms of a probability distribution — is crucial for Bayesian inference.
It’s well known across the machine learning community that choosing the right prior — an initial belief re an event expressed in terms of a probability distribution — is crucial for Bayesian inference.
Bayesian inference, machine learning community, terms, event, initial belief, probability distribution
