Efficiently finding approximate second-order stationary points in the presence of outliers.
提案されたSHGDアルゴリズムは、非対称因子化を使用してスペクトル圧縮センシング問題を解決し、収束性と効率性を示す。
Efficient algorithm for nonconvex minimization with inexact evaluations.
This paper introduces a novel penalty barrier method for solving nonconvex constrained optimization problems, employing a marginalization technique to handle slack variables, resulting in smooth subproblems suitable for accelerated solvers.