Debiased Regression: Achieving √n-Consistency in Conditional Mean Estimation for High-Dimensional and Nonparametric Regression

This paper introduces a novel debiasing technique for regression estimators, enabling √n-consistency and asymptotic normality even in high-dimensional and nonparametric settings, which traditionally suffer from slower convergence rates.