Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions.
Xiu-Chuan LiKun ZhangTongliang LiuPublished in: ICLR (2024)
Keyphrases
- latent variables
- observational data
- causal structure
- causal relationships
- causal bayesian networks
- probabilistic model
- causal ordering
- random variables
- causal effects
- topic models
- prior knowledge
- latent variable models
- gaussian process
- co occurrence
- hidden variables
- causal discovery
- causal models
- heuristic search
- directed acyclic graph
- experimental data
- structural svms
- data sets