Fast algorithm for sparse least trimmed squares via trimmed-regularized reformulation

Shotaro Yagishita

The least trimmed squares (LTS) is a reasonable formulation of robust regression whereas it suffers from high computational cost due to the nonconvexity and nonsmoothness of its ob…