Follow the bisector: a simple method for multi-objective optimization
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Publication:6345052
arXiv2007.06937MaRDI QIDQ6345052
Author name not available (Why is that?)
Publication date: 14 July 2020
Abstract: This study presents a novel Equiangular Direction Method (EDM) to solve a multi-objective optimization problem. We consider optimization problems, where multiple differentiable losses have to be minimized. The presented method computes descent direction in every iteration to guarantee equal relative decrease of objective functions. This descent direction is based on the normalized gradients of the individual losses. Therefore, it is appropriate to solve multi-objective optimization problems with multi-scale losses. We test the proposed method on the imbalanced classification problem and multi-task learning problem, where standard datasets are used. EDM is compared with other methods to solve these problems.
Has companion code repository: https://github.com/amkatrutsa/edm
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