2020
Consistent Plug-in Classifiers for Complex Objectives and Constraints
NeurIPS 2020poster
We present a statistically consistent algorithm for constrained classification problems where the objective (e.g. F-measure, G-mean) and the constraints (e.g. demographic parity, coverage) are defined by general functions of the confusion matrix. The key idea is to reduce the problem into a sequence…