Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information.
Pranjal AwasthiAlex BeutelMatthäus KleindessnerJamie MorgensternXuezhi WangPublished in: FAccT (2021)
Keyphrases
- incomplete information
- machine learning models
- spam filtering
- machine learning algorithms
- machine learning approaches
- uncertain information
- partial information
- possibility theory
- autonomous agents
- missing information
- machine learning
- learning models
- resource allocation
- query answering
- predictive model
- possibilistic networks
- first order logic
- mobile robot
- cooperative
- multiagent systems
- semi supervised
- knn
- active learning
- databases