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stat.ML2026
Chaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
Yuhang Jiang, Fengchuan Zhang, Sanguo Zhang +1
Domain generalization (DG) aims to learn from multiple source domains and generalize to unseen target domains. Most DG methods pursue invariance: they seek a causal representation…
stat.ML2026
Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity
Huichao Li, Tong Wang, Sanguo Zhang +1
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 acros…