2015
Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains
ICML 2015poster
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 carefully since the choice of their values can have a significant impact on the statistical performa…