Fairness After Intervention: Towards a Theory of Substantial Fairness for Machine Learning.
Sebastian ZezulkaPublished in: EWAF (2023)
Keyphrases
- machine learning
- resource allocation
- pattern recognition
- theoretical framework
- data mining
- decision trees
- fair exchange
- game theory
- machine learning methods
- machine learning algorithms
- knowledge representation
- computer vision
- artificial intelligence
- databases
- semi supervised
- knowledge acquisition
- computational model
- inductive learning
- learning tasks
- social networks
- formal theory
- supervised machine learning
- statistical learning
- statistical methods
- information retrieval
- multi objective
- computer science
- semi supervised learning
- knowledge discovery
- active learning