Matthias J. Ehrhardt

Efficient Hyperparameter Tuning with Dynamic Accuracy Derivative-Free\n Optimization

2020 · arXiv (Cornell University)

Many machine learning solutions are framed as optimization problems which\nrely on good hyperparameters. Algorithms for tuning these hyperparameters\nusually assume access to exact solutions to the underlying learning problem,\nwhich is typically not practical. Here, we apply …