Towards Green Automated Machine Learning: Status Quo and Future Directions. (arXiv:2111.05850v2 [cs.LG] UPDATED)

Automated machine learning (AutoML) strives for the automatic configuration
of machine learning algorithms and their composition into an overall (software)
solution - a machine learning pipeline - tailored to the learning task
(dataset) at hand. Over the last decade, AutoML has developed into an
independent research field with hundreds of contributions. While AutoML offers
many prospects, it is also known to be quite resource-intensive, which is one
of its major points of criticism. The primary cause for a high resource …

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