Robust Regression via Online Feature Selection Under Adversarial Data Corruption

ICDM, pp. 1440-1445, 2018.

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Abstract:

The presence of data corruption in user-generated streaming data, such as social media, motivates a new fundamental problem that learns reliable regression coefficient when features are not accessible entirely at one time. Until now, several important challenges still cannot be handled concurrently: 1) corrupted data estimation when only ...More

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