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Improving the Expected Improvement Algorithm

Published in arXiv (Cornell University) • May 29, 2017
NobleIDNI8P42W83R96S29
Authors:
Chao Qin
,
Diego Klabjan
,
Daniel Russo

Abstract

The expected improvement (EI) algorithm is a popular strategy for information collection in optimization under uncertainty. The algorithm is widely known to be too greedy, but nevertheless enjoys wide use due to its simplicity and ability to handle uncertainty and noise in a coherent decision theore...

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