Instrumental Variables in Causal Inference and Machine Learning: A Survey.
Anpeng WuKun KuangRuoxuan XiongFei WuPublished in: CoRR (2022)
Keyphrases
- causal inference
- machine learning
- causal models
- observational data
- additive noise
- rare events
- nonmonotonic reasoning
- abductive reasoning
- discrete data
- active learning
- feature selection
- causal relationships
- experimental data
- causal discovery
- information extraction
- directed acyclic graph
- random variables
- text mining
- support vector machine
- data mining
- sample size
- learning algorithm
- logic programming
- text classification
- logic programs
- decision trees
- spatial domain
- natural language processing