2 papers
cs.LG2026
HAPEns: Hardware-Aware Post-Hoc Ensembling for Tabular Data
Jannis Maier, Lennart Purucker
Ensembling is commonly used in machine learning on tabular data to boost predictive performance and robustness, but larger ensembles often lead to increased hardware demand. We int…
cs.LG2024
Hardware Aware Ensemble Selection for Balancing Predictive Accuracy and Cost
Jannis Maier, Felix Möller, Lennart Purucker
Automated Machine Learning (AutoML) significantly simplifies the deployment of machine learning models by automating tasks from data preprocessing to model selection to ensembling.…