13 citations · 33 across the 9 of their papers we have counts for
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stat.ME2021
Smoothing splines approximation using Hilbert curve basis selection
Cheng Meng, Jun Yu, Yongkai Chen +2
Smoothing splines have been used pervasively in nonparametric regressions. However, the computational burden of smoothing splines is significant when the sample size is large.…
stat.ME2021★ 3 cited
Modern Subsampling Methods for Large-Scale Least Squares Regression
Tao Li, Cheng Meng
Subsampling methods aim to select a subsample as a surrogate for the observed sample. As a powerful technique for large-scale data analysis, various subsampling methods are develop…
stat.ME2020★ 3 cited
LowCon: A design-based subsampling approach in a misspecified linear modeL
Cheng Meng, Rui Xie, Abhyuday Mandal +3
We consider a measurement constrained supervised learning problem, that is, (1) full sample of the predictors are given; (2) the response observations are unavailable and expensive…