A multitask deep NN with shared sparsity and rank-based criterion for mixed-type outcomes establishes nonasymptotic excess-risk bounds and variable-selection consistency, with applications to gene-expression data.
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Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity
A multitask deep NN with shared sparsity and rank-based criterion for mixed-type outcomes establishes nonasymptotic excess-risk bounds and variable-selection consistency, with applications to gene-expression data.