Hyperparameter Optimization
... allows to automatically find well-performing hyperparameter settings of your machine learning algorithm (e.g., SVM, RF or DNN) on a given dataset.
... allows to automatically find well-performing hyperparameter settings of your machine learning algorithm (e.g., SVM, RF or DNN) on a given dataset.
... automatically determines an appropriate architecture of a neural network for a dataset at hand.
... aims add learning across datasets, e.g., warmstarting of HPO & NAS, learning of dynamic policies for hyperparameters settings, or learning to learn.
You can learn more about us by visiting our university website at ML Freiburg and at ML Hannover.