Causal Inference Meets Machine Learning.
Peng CuiZheyan ShenSheng LiLiuyi YaoYaliang LiZhixuan ChuJing GaoPublished in: KDD (2020)
Keyphrases
- causal inference
- machine learning
- additive noise
- nonmonotonic reasoning
- discrete data
- causal models
- rare events
- text classification
- decision trees
- abductive reasoning
- knowledge representation
- natural language processing
- text mining
- data mining
- learning algorithm
- noisy images
- knowledge discovery
- supervised learning
- information extraction
- high dimensional
- feature selection