1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
stat.CO2022★ 1 cited
Unweighted estimation based on optimal sample under measurement constraints
Jing Wang, HaiYing Wang, Shifeng Xiong
To tackle massive data, subsampling is a practical approach to select the more informative data points. However, when responses are expensive to measure, developing efficient subsa…
math.ST2022
Sampling with replacement vs Poisson sampling: a comparative study in optimal subsampling
Jing Wang, Jiahui Zou, HaiYing Wang
Faced with massive data, subsampling is a commonly used technique to improve computational efficiency, and using nonuniform subsampling probabilities is an effective approach to im…