Interval Estimation of Individual-Level Causal Effects Under Unobserved Confounding.
Nathan KallusXiaojie MaoAngela ZhouPublished in: AISTATS (2019)
Keyphrases
- causal effects
- individual level
- interval estimation
- structural equation models
- causal relations
- collaborative filtering
- markov decision processes
- linear models
- causal relationships
- group level
- observational data
- macro level
- observed variables
- cash flow
- causal models
- data mining
- experimental data
- recommender systems
- directed acyclic graph
- linear model
- conditional probabilities
- generative model
- random walk
- training data