Variational Causal Networks: Approximate Bayesian Inference over Causal Structures.
Yashas AnnadaniJonas RothfussAlexandre LacosteNino ScherrerAnirudh GoyalYoshua BengioStefan BauerPublished in: CoRR (2021)
Keyphrases
- causal networks
- bayesian inference
- expectation propagation
- bayesian methods
- hyperparameters
- prior information
- causal relations
- variational approximation
- probabilistic model
- bayesian networks
- bayesian model
- image segmentation
- causal relationships
- belief revision
- possibility theory
- particle filter
- possibilistic networks
- causal models
- gaussian process
- graphical models