• Corpus ID: 224707196

Bayesian Neural Networks with Soft Evidence

  title={Bayesian Neural Networks with Soft Evidence},
  author={Edward Yu},
  • Edward Yu
  • Published 19 October 2020
  • Computer Science
  • ArXiv
Bayes's rule deals with hard evidence, that is, we can calculate the probability of event $A$ occuring given that event $B$ has occurred. Soft evidence, on the other hand, involves a degree of uncertainty about whether event $B$ has actually occurred or not. Jeffrey's rule of conditioning provides a way to update beliefs in the case of soft evidence. We provide a framework to learn a probability distribution on the weights of a neural network trained using soft evidence by way of two simple… 

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