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Filtering by: Committee Member Dietterish, Thomas G. Remove constraint Committee Member: Dietterish, Thomas G. Creator Behnoudfar, Ali Remove constraint Creator: Behnoudfar, Ali

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  • Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

    Creator:
    Behnoudfar, Ali
    Abstract:
    In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
    Resource Type:
    Masters Thesis
    Full Text:
    when the rejection option is taken. As shown in [27], the optimal classification rule g∗ : X 7→ ỹ is