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Found 2 papers, 2 papers with code
Optimizing Black-box Metrics with Iterative Example Weighting
We consider learning to optimize a classification metric defined by a black-box function of the confusion matrix.
Quadratic Metric Elicitation for Fairness and Beyond
Metric elicitation is a recent framework for eliciting classification performance metrics that best reflect implicit user preferences based on the task and context.
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