Fairness-Aware Meta-Learning via Nash Bargaining.
Yi ZengXuelin YangLi ChenCristian Canton FerrerMing JinMichael I. JordanRuoxi JiaPublished in: CoRR (2024)
Keyphrases
- meta learning
- game theory
- bargaining solution
- game theoretic
- nash equilibrium
- utility function
- fixed point
- learning tasks
- meta knowledge
- inductive learning
- model selection
- cooperative
- machine learning algorithms
- resource allocation
- machine learning
- multi agent systems
- solution concepts
- data mining
- feature selection
- logical properties
- incomplete information
- decision trees
- support vector
- case study
- metamodel
- base classifiers
- envy free
- social welfare
- learning algorithm
- learning experience
- classification accuracy
- black box
- knowledge acquisition
- text categorization
- test data