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Sample efficient nonparametric regression via low-rank regularization
Journal of Computational and Graphical Statistics ( IF 1.4 ) Pub Date : 2024-10-15 , DOI: 10.1080/10618600.2024.2414891
Jiakun Jiang, Jiahao Peng, Heng Lian

Nonparametric regression suffers from curse of dimensionality, requiring a relatively large sample size for accurate estimation beyond the univariate case. In this paper, we consider a simple metho...

中文翻译:


通过低秩正则化进行样本高效的非参数回归



非参数回归受到维数诅咒的影响,需要相对较大的样本量才能在单变量情况之外进行准确估计。在本文中,我们考虑了一种简单的方法...
更新日期:2024-10-16
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