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...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
AIMS Press
2023-03-01
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Series: | Mathematics in Engineering |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/mine.2023020?viewType=HTML |