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: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer Berlin Heidelberg,
2022-08-22T13:03:39Z.
|
Subjects: | |
Online Access: | Get fulltext |