Now showing items 1-2 of 2

• Necessary and sufficient conditions for noiseless sparse recovery via convex quadratic splines ﻿

(Society for Industrial and Applied Mathematics Publications, 2019)
The problem of exact recovery of an individual sparse vector using the Basis Pursuit (BP) model is considered. A differentiable Huber loss function (a convex quadratic spline) is used to replace the $\ell_1$-norm in the ...
• Sparse solutions to an underdetermined system of linear equations via penalized Huber loss ﻿

(Springer, 2020)
We investigate the computation of a sparse solution to an underdetermined system of linear equations using the Huber loss function as a proxy for the 1-norm and a quadratic error term à la Lasso. The approach is termed ...