Tweeted By @andrewgwils
Bayesian methods are *especially* compelling for deep neural networks. The key distinguishing property of a Bayesian approach is marginalization instead of optimization, not the prior, or Bayes rule. This difference will be greatest for underspecified models like DNNs. 1/18 https://t.co/YFxRK1Ho9H
— Andrew Gordon Wilson (@andrewgwils) December 27, 2019