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cs.LG2022★ 1 cited
Optimally Weighted Ensembles of Regression Models: Exact Weight Optimization and Applications
Patrick Echtenbruck, Martina Echtenbruck, Joost Batenburg +3
Automated model selection is often proposed to users to choose which machine learning model (or method) to apply to a given regression task. In this paper, we show that combining d…
cs.LG2022★ 2 cited
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
Hao Wang, Kaifeng Yang, Michael Affenzeller
Hypervolume improvement (HVI) is commonly employed in multi-objective Bayesian optimization algorithms to define acquisition functions due to its Pareto-compliant property. Rather…