Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding.
Nathan KallusXiaojie MaoAngela ZhouPublished in: CoRR (2018)
Keyphrases
- causal effects
- individual level
- interval estimation
- causal relations
- structural equation models
- collaborative filtering
- linear models
- markov decision processes
- causal relationships
- group level
- observational data
- observed variables
- financial institutions
- causal models
- decision makers
- cash flow
- causal discovery
- search space
- upper bound
- machine learning
- model selection