15 citations · 69 across the 9 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2020★ 8 cited
Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu, Shih-Kang Chao, Guang Cheng
In this paper, we propose a bootstrap method applied to massive data processed distributedly in a large number of machines. This new method is computationally efficient in that we…
stat.ML2019★ 15 cited
A generalization of regularized dual averaging and its dynamics
Shih-Kang Chao, Guang Cheng
Excessive computational cost for learning large data and streaming data can be alleviated by using stochastic algorithms, such as stochastic gradient descent and its variants. Rece…