Causal Inference and Machine Learning in Practice: Use Cases for Product, Brand, Policy and Beyond.
Jeong-Yoon LeeYifeng WuKeith BattocchiFabio VeraZhenyu ZhaoTotte HarinenJing PanHuigang ChenZeyu ZhengChu WangYingfei WangXinwei MaPublished in: KDD (2023)
Keyphrases
- causal inference
- machine learning
- additive noise
- abductive reasoning
- discrete data
- nonmonotonic reasoning
- natural language processing
- reinforcement learning
- causal models
- text mining
- feature selection
- model selection
- learning algorithm
- random variables
- information extraction
- knowledge discovery
- knowledge representation
- decision trees
- data mining