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Jatin Mathur

2 accepted papers

2022

Quadratic metric elicitation for fairness and beyond

UAI 2022poster

Metric elicitation is a recent framework for eliciting classification performance metrics that best reflect implicit user preferences based on the task and context. However, available elicitation strategies have been limited to linear (or quasi-linear) functions of predictive rates, which can be pra…

2021

Optimizing Black-box Metrics with Iterative Example Weighting

ICML 2021spotlight

We consider learning to optimize a classification metric defined by a black-box function of the confusion matrix. Such black-box learning settings are ubiquitous, for example, when the learner only has query access to the metric of interest, or in noisy-label and domain adaptation applications where…