1 code implementation • 13 Nov 2022 • Jianli Huang, Xianjie Guo, Kui Yu, Fuyuan Cao, Jiye Liang
In this paper, we study a privacy-aware causal structure learning problem in the federated setting and propose a novel Federated PC (FedPC) algorithm with two new strategies for preserving data privacy without centralizing data.
no code implementations • 28 Feb 2021 • Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
Local causal structure learning aims to discover and distinguish direct causes (parents) and direct effects (children) of a variable of interest from data.
no code implementations • 12 Nov 2020 • Shuai Yang, Kui Yu, Fuyuan Cao, Lin Liu, Hao Wang, Jiuyong Li
In this paper, we study the cases where at the training phase the target domain data is unavailable and only well-labeled source domain data is available, called robust domain adaptation.
1 code implementation • 3 Oct 2019 • Shuai Yang, Hao Wang, Kui Yu, Fuyuan Cao, Xindong Wu
To tackle this issue, we propose a novel Efficient Local Causal Structure learning algorithm, named ELCS.