Optimization, Deep Learning, Convex Optimization, Optimal Performance, Approximation.
specialized methods for solving non-convex problems known in operations research such as alternating minimization methods, branch-and-bound methods. But, these methods are not, generally, very popular for ML problems. In the same context, there are varieties of theoretical convergence results