2 papers
cs.LG2026
Unsupervised Multi-kernel Learning for Automated Algorithm Selection
Yihang Lu, Tome Eftimov, Carola Doerr
Automated algorithm selection in black-box optimization typically relies on supervised models that map landscape features to algorithm performance labels. Such models are costly to…
cs.AI2025
Geometric Learning in Black-Box Optimization: A GNN Framework for Algorithm Performance Prediction
Ana Kostovska, Carola Doerr, Sašo Džeroski +2
Automated algorithm performance prediction in numerical blackbox optimization often relies on problem characterizations, such as exploratory landscape analysis features. These feat…