13 citations · 27 across the 7 of their papers we have counts for
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stat.ML2021
Oversampling Divide-and-conquer for Response-skewed Kernel Ridge Regression
Jingyi Zhang, Xiaoxiao Sun
The divide-and-conquer method has been widely used for estimating large-scale kernel ridge regression estimates. Unfortunately, when the response variable is highly skewed, the div…
stat.ML2021★ 13 cited
Large-scale optimal transport map estimation using projection pursuit
Cheng Meng, Yuan Ke, Jingyi Zhang +3
This paper studies the estimation of large-scale optimal transport maps (OTM), which is a well-known challenging problem owing to the curse of dimensionality. Existing literature a…
stat.ML2021★ 2 cited
Ensemble machine learning approach for screening of coronary heart disease based on echocardiography and risk factors
Jingyi Zhang, Huolan Zhu, Yongkai Chen +5
Background: Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 tw…