2 citations · 4 across the 2 of their papers we have counts for
2 papers
stat.ML2018★ 2 cited
Gradient-based Sampling: An Adaptive Importance Sampling for Least-squares
Rong Zhu
In modern data analysis, random sampling is an efficient and widely-used strategy to overcome the computational difficulties brought by large sample size. In previous studies, rese…
stat.ML2015★ 2 cited
Poisson Subsampling Algorithms for Large Sample Linear Regression in Massive Data
Rong Zhu
Large sample size brings the computation bottleneck for modern data analysis. Subsampling is one of efficient strategies to handle this problem. In previous studies, researchers ma…