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