The Case for Bayesian Deep Learning

29 Jan 2020 Andrew Gordon Wilson

The key distinguishing property of a Bayesian approach is marginalization instead of optimization, not the prior, or Bayes rule. Bayesian inference is especially compelling for deep neural networks... (read more)

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