Amortized Inference for Causal Structure Learning.
Lars LorchScott SussexJonas RothfussAndreas KrauseBernhard SchölkopfPublished in: NeurIPS (2022)
Keyphrases
- structure learning
- bayesian networks
- parameter learning
- markov logic networks
- markov blanket
- graphical models
- probabilistic inference
- dynamic bayesian networks
- conditional independence
- causal relationships
- exact inference
- probabilistic reasoning
- probability distribution
- causal models
- probabilistic model
- worst case
- bayesian network classifiers
- parameter estimation
- conditional probabilities
- conditional independence tests
- approximate inference
- undirected graphical models
- belief networks
- hidden variables
- markov networks
- posterior probability
- causal reasoning
- bayesian inference
- causal discovery
- higher order
- training data