Estimation and Applications of Quantiles in Deep Binary Classification

Conditional quantiles obtained via regression are used as a robust alternative to classical conditional means in econometrics and statistics, as they can capture the uncertainty in a prediction, and model tail behaviors, while making very few distributional assumptions. In this work, we extend the notion of conditional quantiles to the binary classification setting—allowing us to quantify the unce...