Differentiable Causal Discovery Under Unmeasured Confounding.
Rohit BhattacharyaTushar NagarajanDaniel MalinskyIlya ShpitserPublished in: CoRR (2020)
Keyphrases
- causal discovery
- causal models
- causal relationships
- discovery process
- causal structure
- directed acyclic graph
- bayesian networks
- objective function
- conditional independence
- loss function
- markov blanket
- influence diagrams
- machine learning
- causal relations
- decision problems
- probabilistic inference
- knowledge discovery
- special case
- observational data