Least Absolute Gradient Selector: Statistical Regression via Pseudo-Hard Thresholding

Kun Yang

Variable selection in linear models plays a pivotal role in modern statistics. Hard-thresholding methods such as $l_0$ regularization are theoretically ideal but computationally in…