Learning with Rejection

  title={Learning with Rejection},
  author={Corinna Cortes and Giulia DeSalvo and Mehryar Mohri},
We introduce a novel framework for classification with a rejection option that consists of simultaneously learning two functions: a classifier along with a rejection function. We present a full theoretical analysis of this framework including new data-dependent learning bounds in terms of the Rademacher complexities of the classifier and rejection families as well as consistency and calibration results. These theoretical guarantees guide us in designing new algorithms that can exploit different… CONTINUE READING
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