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Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2962943913

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination

About this item

Full title

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination

Publisher

Ithaca: Cornell University Library, arXiv.org

Journal title

arXiv.org, 2024-03

Language

English

Formats

Publication information

Publisher

Ithaca: Cornell University Library, arXiv.org

More information

Scope and Contents

Contents

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...

Alternative Titles

Full title

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2962943913

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2962943913

Other Identifiers

E-ISSN

2331-8422

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