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...
Main Authors: | Mazumder, Rahul (Author), Wang, Haoyue (Author) |
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Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg,
2022-08-22T13:03:39Z.
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Subjects: | |
Online Access: | Get fulltext |
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