1 citations · 1 across the 3 of their papers we have counts for
3 papers
math.ST2023
Improving tensor regression by optimal model averaging
Qiushi Bu, Hua Liang, Xinyu Zhang +1
Tensors have broad applications in neuroimaging, data mining, digital marketing, etc. CANDECOMP/PARAFAC (CP) tensor decomposition can effectively reduce the number of parameters to…
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…
stat.ME2021★ 1 cited
Model Averaging for Support Vector Machine by Cross-Validation
Jiahui Zou, Chaoxia Yuan, Xinyu Zhang +2
Support vector machine (SVM) is a well-known statistical technique for classification problems in machine learning and other fields. An important question for SVM is the selection…