Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains

Many machine learning methods are given as parameterized optimization problems. Important examples of such parameters are regularization- and kernel hyperparameters. These parameters have to be tuned