Integer Programming for Causal Structure Learning in the Presence of Latent Variables.
Rui ChenSanjeeb DashTian GaoPublished in: ICML (2021)
Keyphrases
- integer programming
- latent variables
- structure learning
- bayesian networks
- probabilistic model
- graphical models
- random variables
- causal relationships
- conditional independence
- hidden variables
- markov networks
- parameter learning
- np hard
- posterior distribution
- linear programming
- constraint programming
- max margin
- topic models
- approximate inference
- cutting plane
- belief propagation
- factor graphs
- prior knowledge
- probabilistic graphical models
- cutting plane algorithm
- causal models
- causal discovery
- probability distribution
- parameter estimation
- dependency structure
- continuous variables
- transfer learning
- conditional probabilities
- directed acyclic graph
- exact inference
- bayesian inference
- constraint satisfaction
- generative model
- expectation maximization
- text mining
- network structure
- posterior probability