Consistent Multiclass Algorithms for Complex Metrics and Constraints

1 code implementation • 18 Oct 2022 • Harikrishna Narasimhan, Harish G. Ramaswamy, Shiv Kumar Tavker, Drona Khurana, Praneeth Netrapalli, Shivani Agarwal

We present consistent algorithms for multiclass learning with complex performance metrics and constraints, where the objective and constraints are defined by arbitrary functions of the confusion matrix.

Fairness

Consistent Plug-in Classifiers for Complex Objectives and Constraints

no code implementations • NeurIPS 2020 • Shiv Kumar Tavker, Harish Guruprasad Ramaswamy, Harikrishna Narasimhan

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.