Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives
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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 allows the sparsity pattern of regression coefficients and the values of non-... ...
