How much data is sufficient to learn high-performing algorithms?

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Other Links: arxiv.org

Abstract:

Algorithms for scientific analysis typically have tunable parameters that significantly influence computational efficiency and solution quality. If a parameter setting leads to strong algorithmic performance on average over a set of typical problem instances, that parameter setting---ideally---will perform well in the future. However, i...More

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