3 papers
cs.LG2021
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning
Julia Gastinger, Sébastien Nicolas, Dušica Stepić +2
The contribution of this work is twofold: (1) We introduce a collection of ensemble methods for time series forecasting to combine predictions from base models. We demonstrate insi…
cs.LG2020
The Combinatorial Multi-Bandit Problem and its Application to Energy Management
Tobias Jacobs, Mischa Schmidt, Sébastien Nicolas +1
We study a Combinatorial Multi-Bandit Problem motivated by applications in energy systems management. Given multiple probabilistic multi-arm bandits with unknown outcome distributi…
cs.LG2019
On the Performance of Differential Evolution for Hyperparameter Tuning
Mischa Schmidt, Shahd Safarani, Julia Gastinger +3
Automated hyperparameter tuning aspires to facilitate the application of machine learning for non-experts. In the literature, different optimization approaches are applied for that…