Regularization methods are often employed to reduce overfitting of machine learning models. Nonconvex penalty functions are often considered for regularization because of their near-unbiasedness properties. In this paper. we consider two relatively new penalty functions: Laplace and arctan. https://chefesquipmenters.shop/product-category/underliners/