5 citations · 6 across the 4 of their papers we have counts for
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stat.ME2023★ 1 cited
Semi-supervised linear regression: enhancing efficiency and robustness in high dimensions
Kai Chen, Yuqian Zhang
In semi-supervised learning, the prevailing understanding suggests that observing additional unlabeled samples improves estimation accuracy for linear parameters only in the case o…
stat.ME2019★ 5 cited
High-dimensional semi-supervised learning: in search for optimal inference of the mean
Yuqian Zhang, Jelena Bradic
A fundamental challenge in semi-supervised learning lies in the observed data's disproportional size when compared with the size of the data collected with missing outcomes. An imp…