Federated Causality Learning with Explainable Adaptive Optimization

no code implementations • 9 Dec 2023 • Dezhi Yang, Xintong He, Jun Wang, Guoxian Yu, Carlotta Domeniconi, Jinglin Zhang

We design a global optimization formula to naturally aggregate the causal graphs from client data and constrain the acyclicity of the global graph without exposing local data.

Causal Discovery

Reinforcement Causal Structure Learning on Order Graph

no code implementations • 22 Nov 2022 • Dezhi Yang, Guoxian Yu, Jun Wang, Zhengtian Wu, Maozu Guo

In this paper, we propose {Reinforcement Causal Structure Learning on Order Graph} (RCL-OG) that uses order graph instead of MCMC to model different DAG topological orderings and to reduce the problem size.

Causal Discovery Q-Learning

Short Text Understanding by Leveraging Knowledge into Topic Model

no code implementations • HLT 2015 • Shansong Yang, Weiming Lu, Dezhi Yang, Liang Yao, Baogang Wei

Topic Models