A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning

no code implementations • 23 Apr 2021 • Julia Gastinger, Sébastien Nicolas, Dušica Stepić, Mischa Schmidt, Anett Schülke

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.

Ensemble Learning Meta-Learning +2

The Combinatorial Multi-Bandit Problem and its Application to Energy Management

no code implementations • 30 Oct 2020 • Tobias Jacobs, Mischa Schmidt, Sébastien Nicolas, Anett Schülke

For our energy management application we propose a range of algorithms that combine exploration principles for multi-arm bandits with mathematical programming.

energy management Management

HAMLET -- A Learning Curve-Enabled Multi-Armed Bandit for Algorithm Selection

no code implementations • 30 Jan 2020 • Mischa Schmidt, Julia Gastinger, Sébastien Nicolas, Anett Schülke

Automated algorithm selection and hyperparameter tuning facilitates the application of machine learning.

BIG-bench Machine Learning