no code implementations • 1 Feb 2023 • Jasmin Brandt, Marcel Wever, Dimitrios Iliadis, Viktor Bengs, Eyke Hüllermeier
Hyperparameter optimization (HPO) is concerned with the automated search for the most appropriate hyperparameter configuration (HPC) of a parameterized machine learning algorithm.
1 code implementation • 8 Nov 2022 • Dimitrios Iliadis, Marcel Wever, Bernard De Baets, Willem Waegeman
As a result of the ever increasing complexity of configuring and fine-tuning machine learning models, the field of automated machine learning (AutoML) has emerged over the past decade.
no code implementations • 19 Apr 2021 • Dimitrios Iliadis, Bernard De Baets, Willem Waegeman
In this work we present a generic deep learning methodology that can be used for a wide range of multi-target prediction problems.