Causal Discovery and Causal Inference Based Counterfactual Fairness in Machine Learning.
Yajing WangZongwei LuoPublished in: ICASSP (2023)
Keyphrases
- causal inference
- causal discovery
- causal models
- machine learning
- observational data
- causal relationships
- directed acyclic graph
- conditional independence
- discovery process
- experimental data
- bayesian networks
- natural language processing
- decision trees
- text classification
- text mining
- knowledge discovery
- knowledge representation
- learning algorithm
- data mining
- random variables
- feature selection
- data analysis