Danial Davarnia

A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions

Optimization problems with norm-bounding constraints appear in various applications, from portfolio optimization to machine learning, feature selection, and beyond. A widely used variant of these problems relaxes the norm-bounding constraint through Lagrangian relaxation and moves it to the objectiv…