2020
Sample Complexity of Uniform Convergence for Multicalibration
NeurIPS 2020poster
There is a growing interest in societal concerns in machine learning systems, especially in fairness. Multicalibration gives a comprehensive methodology to address group fairness. In this work, we address the multicalibration error and decouple it from the prediction error. The importance of decoupl…