Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach.
Falco J. Bargagli StoffiKristof De WitteGiorgio GneccoPublished in: CoRR (2019)
Keyphrases
- machine learning
- causal effects
- structural equation models
- causal relations
- causal relationships
- linear models
- learning tasks
- bayesian networks
- reinforcement learning
- learning algorithm
- real world
- bayesian inference
- maximum likelihood
- text mining
- supervised learning
- information extraction
- active learning
- semi supervised learning
- text classification
- conditional probabilities
- observational data
- high dimensional
- decision trees