Multi-Task Learning for Sparsity Pattern Heterogeneity: Statistical and Computational Perspectives

Kayhan Behdin, Gabriel Loewinger, Kenneth T. Kishida +2

We consider a problem in Multi-Task Learning (MTL) where multiple linear models are jointly trained on a collection of datasets ("tasks"). A key novelty of our framework is that it…