2 papers
stat.ML2025
Concentration and excess risk bounds for imbalanced classification with synthetic oversampling
Touqeer Ahmad, Mohammadreza M. Kalan, François Portier +1
Synthetic oversampling of minority examples using SMOTE and its variants is a leading strategy for addressing imbalanced classification problems. Despite the success of this approa…
math.ST2024
Logistic lasso regression with nearest neighbors for gradient-based dimension reduction
Touqeer Ahmad, François Portier, Gilles Stupfler
This paper investigates a new approach to estimate the gradient of the conditional probability given the covariates in the binary classification framework. The proposed approach co…