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Stability Selection for Structured Variable Selection

Published in arXiv (Cornell University) • Dec 13, 2017
NobleIDNI0P90W24R23S21
Authors:
George Philipp
,
Seunghak Lee
,
Eric P. Xing

Abstract

In variable or graph selection problems, finding a right-sized model or controlling the number of false positives is notoriously difficult. Recently, a meta-algorithm called Stability Selection was proposed that can provide reliable finite-sample control of the number of false positives. Its benefit...

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