Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information.
Pranjal AwasthiAlex BeutelMatthäus KleindessnerJamie MorgensternXuezhi WangPublished in: CoRR (2021)
Keyphrases
- incomplete information
- machine learning models
- machine learning algorithms
- spam filtering
- machine learning approaches
- partial information
- uncertain information
- possibility theory
- query answering
- learning models
- missing information
- autonomous agents
- first order logic
- machine learning
- resource allocation
- predictive model
- neural network
- artificial intelligence
- game theory
- fuzzy rules
- support vector machine
- negotiation strategies
- cooperative