Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders.
Olivier JeunenCiarán M. Gilligan-LeeRishabh MehrotraMounia LalmasPublished in: CoRR (2022)
Keyphrases
- causal effects
- observational data
- causal bayesian networks
- structural equation models
- experimental data
- causal relations
- directed acyclic graph
- causal relationships
- causal discovery
- causal structure
- causal models
- bayesian networks
- linear models
- sample size
- latent variables
- gaussian processes
- graphical models
- semi supervised
- upper bound
- feature selection