Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking

Laurent Meunier, Herilalaina Rakotoarison, Pak Kan Wong +5

Existing studies in black-box optimization for machine learning suffer from low generalizability, caused by a typically selective choice of problem instances used for training and…