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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Vydané v:	Mathematics in engineering Ročník 5; číslo 1; s. 1 - 16
Hlavní autori:	Lapucci, Matteo, Pucci, Davide
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	AIMS Press 01.03.2023
Predmet:	clustered mtl global optimization miqp multitask learning weakly constrained mtl
ISSN:	2640-3501, 2640-3501
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