1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
Calibrate and Debias Layer-wise Sampling for Graph Convolutional Networks
Yifan Chen, Tianning Xu, Dilek Hakkani-Tur +3
Multiple sampling-based methods have been developed for approximating and accelerating node embedding aggregation in graph convolutional networks (GCNs) training. Among them, a lay…
stat.ML2022★ 1 cited
On Variance Estimation of Random Forests with Infinite-Order U-statistics
Tianning Xu, Ruoqing Zhu, Xiaofeng Shao
Infinite-order U-statistics (IOUS) has been used extensively on subbagging ensemble learning algorithms such as random forests to quantify its uncertainty. While normality results…