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Bayesian learning of Causal Structure and Mechanisms with GFlowNets and Variational Bayes.

Mizu Nishikawa-ToomeyTristan DeleuJithendaraa SubramanianYoshua BengioLaurent Charlin
Published in: CoRR (2022)
Keyphrases
  • bayesian learning
  • variational bayes
  • model selection
  • posterior distribution
  • hyperparameters
  • causal models
  • machine learning
  • latent variables
  • probability distribution
  • sample size
  • markov random field