An Empirical Study of Rich Subgroup Fairness for Machine Learning.
Michael J. KearnsSeth NeelAaron RothZhiwei Steven WuPublished in: FAT (2019)
Keyphrases
- machine learning
- learning algorithm
- data mining
- machine learning methods
- machine learning algorithms
- information extraction
- machine learning and data mining
- text mining
- active learning
- natural language processing
- neural network
- machine learning approaches
- artificial intelligence
- semi supervised learning
- knowledge acquisition
- text classification
- decision trees
- knowledge representation
- feature selection
- data analysis
- case study
- pattern recognition
- computer science
- social networks
- natural language
- computer vision
- cooperative
- reinforcement learning
- resource allocation
- genetic algorithm
- game theory
- statistical methods
- learning tasks
- learning problems
- high level
- artificial neural networks