arXiv stat.ML
· Papers
Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity
arXiv:2607.00995v1 Announce Type: new Abstract: Most existing multitask learning approaches are limited by their reliance on task-specific loss functions tailored to the scale and type of each outcome. When outcomes differ across tasks, these losses are generally not directly comparable, which makes it difficult to for