Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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We study Gaussian sparse estimation tasks in Huber's contamination model with a focus on mean estimation, PCA, and linear regression. For each of these tasks, we give the first sample and computationally efficient robust estimators with optimal error guarantees, within constant factors. All prior efficient algorithms for these tasks incur quantitat...
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Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination
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TN_cdi_proquest_journals_2962943913
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2962943913
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2331-8422