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stat.CO2025
Feature splitting parallel algorithm for Dantzig selectors
Xiaofei Wu, Yue Chao, Rongmei Liang +2
The Dantzig selector is a widely used and effective method for variable selection in ultra-high-dimensional data. Feature splitting is an efficient processing technique that involv…
cs.LG2025
Leveraging Noisy Manual Labels as Useful Information: An Information Fusion Approach for Enhanced Variable Selection in Penalized Logistic Regression
Xiaofei Wu, Rongmei Liangse
In large-scale supervised learning, penalized logistic regression (PLR) effectively mitigates overfitting through regularization, yet its performance critically depends on robust v…
stat.CO2025
Parallel ADMM Algorithm with Gaussian Back Substitution for High-Dimensional Quantile Regression and Classification
Xiaofei Wu, Dingzi Guo, Rongmei Liang +1
In the field of high-dimensional data analysis, modeling methods based on quantile loss function are highly regarded due to their ability to provide a comprehensive statistical per…