Regularization, Machine Learning, Convex Optimization, Lagrangian, Ml So Good.
will always give a convex function, but a convex and non-convex together will give a non-convex one. But two non-convex might end up giving a convex surface. This is the reason why we generally see things similar to combinations of multiple L1 or L2 terms, as both are convex and thus could be