2 papers
stat.ML2026
Scale-invariant Optimal Sampling for Rare-events Data with Sparse Models
Jing Wang, HaiYing Wang, Qiang Zhang +1
Subsampling is effective in tackling computational challenges for massive data with rare events. Overly aggressive subsampling may adversely affect estimation efficiency, and optim…
stat.ML2025
Robust Data Fusion via Subsampling
Jing Wang, HaiYing Wang, Kun Chen
Data fusion and transfer learning are rapidly growing fields that enhance model performance for a target population by leveraging other related data sources or tasks. The challenge…