Amortized Inference for Causal Structure Learning.
Lars LorchScott SussexJonas RothfussAndreas KrauseBernhard SchölkopfPublished in: CoRR (2022)
Keyphrases
- structure learning
- bayesian networks
- parameter learning
- markov logic networks
- dynamic bayesian networks
- markov blanket
- graphical models
- probabilistic inference
- conditional independence
- probabilistic reasoning
- exact inference
- causal relationships
- probability distribution
- probabilistic model
- bayesian network classifiers
- random variables
- causal discovery
- undirected graphical models
- worst case
- conditional probabilities
- conditional independence tests
- hidden variables
- transfer learning
- parameter estimation
- markov networks
- causal models
- belief networks
- posterior probability
- sample size
- machine learning
- maximum likelihood estimation
- probabilistic graphical models
- causal reasoning
- generative model
- em algorithm