Differentiable Causal Discovery Under Unmeasured Confounding.
Rohit BhattacharyaTushar NagarajanDaniel MalinskyIlya ShpitserPublished in: AISTATS (2021)
Keyphrases
- causal discovery
- causal models
- causal relationships
- discovery process
- bayesian networks
- causal structure
- objective function
- directed acyclic graph
- markov blanket
- conditional independence
- loss function
- observational data
- decision making
- databases
- sensitivity analysis
- random walk
- structure learning
- co occurrence
- association rules
- support vector
- real world
- data sets