2 citations · 2 across the 3 of their papers we have counts for
3 papers
stat.ME2026
Minimum free energy randomized design to improve covariate balance
Haolin Chen, Jun Yu
``Block what you can and randomize what you cannot'' is the core principle for treatment effect estimation in randomized controlled trials. Although a wealth of allocation strategi…
stat.ME2024
Multi-resolution subsampling for large-scale linear classification
Haolin Chen, Holger Dette, Jun Yu
Subsampling is one of the popular methods to balance statistical efficiency and computational efficiency in the big data era. Most approaches aim at selecting informative or repres…
cs.CV2021★ 2 cited
Stable and Compact Face Recognition via Unlabeled Data Driven Sparse Representation-Based Classification
Xiaohui Yang, Zheng Wang, Huan Wu +3
Sparse representation-based classification (SRC) has attracted much attention by casting the recognition problem as simple linear regression problem. SRC methods, however, still is…