Linear regression with partially mismatched data: local search with theoretical guarantees

Abstract Linear regression is a fundamental modeling tool in statistics and related fields. In this paper, we study an important variant of linear regression in which the predictor-response pairs are partially mismatched. We use an optimization formulation to simultaneously learn the underlying regr...

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Bibliographic Details
Main Authors: Mazumder, Rahul (Author), Wang, Haoyue (Author)
Format: Article
Language:English
Published: Springer Berlin Heidelberg, 2022-08-22T13:03:39Z.
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