Characterizing Fairness Over the Set of Good Models Under Selective Labels.
Amanda CostonAshesh RambachanAlexandra ChouldechovaPublished in: ICML (2021)
Keyphrases
- decision trees
- machine learning algorithms
- classification models
- training data
- machine learning
- probabilistic model
- statistical models
- small number
- support vector
- parameter estimation
- complex systems
- statistical model
- experimental data
- image segmentation
- case study
- database
- feature selection
- resource allocation
- neural network
- real time