Mixed-integer quadratic programming reformulations of multi-task learning models

In this manuscript, we consider well-known multi-task learning (MTL) models from the literature for linear regression problems, such as clustered MTL or weakly constrained MTL. We propose novel reformulations of the training problem for these models, based on mixed-integer quadratic programming (MIQ...

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Bibliographic Details

Published in:	Mathematics in engineering Vol. 5; no. 1; pp. 1 - 16
Main Authors:	Lapucci, Matteo, Pucci, Davide
Format:	Journal Article
Language:	English
Published:	AIMS Press 01.03.2023
Subjects:	clustered mtl global optimization miqp multitask learning weakly constrained mtl
ISSN:	2640-3501, 2640-3501
Online Access:	Get full text
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