Algorithm selection, a critical process of automated machine learning, aims to identify the
most suitable algorithm for solving a specific problem prior to execution. Mainstream …

Selecting a well-performing algorithm for a given task or dataset can be time-consuming and
tedious, but is crucial for the successful day-to-day business of developing new AI & ML …

Hyperparameter optimization (HPO) methods can determine well-performing
hyperparameter configurations efficiently but often lack insights and transparency. We …

In the algorithm selection research, the discussion surrounding algorithm features has been
significantly overshadowed by the emphasis on problem features. Although a few empirical …

Selecting the most appropriate algorithm to use when tackling a black-box continuous
optimization problem is a challenging task. with a wide range of optimization algorithms …

There exists a plethora of algorithms for most computationally hard problems, which all have
their strengths and weaknesses on different instances of said problems. Correspondingly …