39 citations · 108 across the 10 of their papers we have counts for
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stat.ML2024
Additive-Effect Assisted Learning
Jiawei Zhang, Yuhong Yang, Jie Ding
It is quite popular nowadays for researchers and data analysts holding different datasets to seek assistance from each other to enhance their modeling performance. We consider a sc…
stat.ML2021
Targeted Cross-Validation
Jiawei Zhang, Jie Ding, Yuhong Yang
In many applications, we have access to the complete dataset but are only interested in the prediction of a particular region of predictor variables. A standard approach is to find…
stat.ML2019★ 9 cited
Is a Classification Procedure Good Enough? A Goodness-of-Fit Assessment Tool for Classification Learning
Jiawei Zhang, Jie Ding, Yuhong Yang
In recent years, many non-traditional classification methods, such as Random Forest, Boosting, and neural network, have been widely used in applications. Their performance is typic…