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Robust Structured Estimation with Single-Index Models

ICML 2017 • Sheng Chen • Arindam Banerjee

In this paper, we investigate general single-index models (SIMs) in high dimensions. Based on U-statistics, we propose two types of robust estimators for the recovery of model parameters, which can be viewed as generalizations of several existing algorithms for one-bit compressed sensing (1-bit CS)... (read more)

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