Causal Fair Machine Learning via Rank-Preserving Interventional Distributions.
Ludwig BothmannSusanne DandlMichael SchomakerPublished in: AEQUITAS@ECAI (2023)
Keyphrases
- machine learning
- machine learning methods
- natural language processing
- probability distribution
- machine learning algorithms
- pattern recognition
- active learning
- machine learning approaches
- knowledge discovery
- text mining
- patient specific
- kernel methods
- data mining
- causal models
- learning problems
- learning tasks
- kullback leibler divergence
- random variables
- causal networks
- learning systems
- knowledge acquisition
- semi supervised learning
- supervised learning
- information extraction
- feature selection
- computer vision
- support vector machine
- data analysis
- computer science
- inductive learning
- bayesian networks
- causal relationships
- explanation based learning
- search engine
- causal reasoning
- artificial intelligence
- causal inference