Selective regression allows abstention from prediction if the confidence to make an accurate
prediction is not sufficient. In general, by allowing a reject option, one expects the …

This work provides several fundamental characterizations of the optimal classification
function under the demographic parity constraint. In the awareness framework, akin to the …

Machine learning models have proven to have the ability to make accurate predictions on
complex data tasks such as image and graph data. However, they are vulnerable to various …

We address the problem of performing regression while ensuring demographic parity, even
without access to sensitive attributes during inference. We present a general-purpose post …

Machine learning algorithms are celebrated for their impressive performance on many
tasksthat we thought were dedicated to human minds, from handwritten digits recognition …