Shuffled linear regression through graduated convex relaxation

The shuffled linear regression problem aims to recover linear relationships in datasets where the correspondence between input and output is unknown. This problem arises in a wide range of applications including survey data, in which one needs to decide whether the anonymity of the responses can be...

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Veröffentlicht in:	arXiv.org 2022-09
Hauptverfasser:	Onaran, Efe, Villar, Soledad
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Optimization Random noise Regression Statistical analysis
Online-Zugang:	Volltext
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