Jonas Moritz Kohler

Sub-sampled Cubic Regularization for Non-convex Optimization

We consider the minimization of non-convex functions that typically arise in machine learning. Specifically, we focus our attention on a variant of trust region methods known as cubic regularization. This approach is particularly attractive because it escapes strict saddle points and it provides str…