Paper List on Latent Tree Models and Causality Learning
- Reliable Latent-Tree Clustering under Static and Drifting Distributions [code]
Sizhuo Wang, Xiaoyue Zhang, Yao Liu, Shengyu Han, Xiaoyu Cui, Xiaofei Wang*
Submitted to JMLR - Independence Test for Linear Non-Gaussian Data and Applications in Causal Discovery [paper]
Yiqing Li, Xiaofei Wang, Boyang Sun, Yewei Xia, Kun Zhang
The Fourteenth International Conference on Learning Representations (ICLR) 2026 - Learning Semi-parametric Tree Models from Mixed Data [paper]
Can Zhou, Nan Li, Shuai Wang, Xiaofei Wang*, Jianhua Guo*
Artificial Intelligence 2026 - Extracting Rare Dependence Patterns via Adaptive Sample Reweighting [paper]
Yiqing Li, Yewei Xia, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong*, Kun Zhang*
Proceedings of the 42nd International Conference on Machine Learning (ICML) 2025 - Propagation Computation for Mixed Bayesian Networks Using Minimal Strong Triangulation [paper]
Yao Liu, Shuai Wang, Can Zhou, Xiaofei Wang*
Mathematics 2024 - Paralinear Distance and Its Algorithm for Hierarchical Clustering of High-dimensional Discrete Variables [paper]
Shuai Wang, Lizhu Hao, Xiaofei Wang*, Jianhua Guo*
International Journal of Approximate Reasoning 2024 - Learning Mixed Latent Tree Models [paper]
Can Zhou, Xiaofei Wang*, Jianhua Guo*
Journal of Machine Learning Research (JMLR) 2020 - Spectral Methods for Learning Discrete Latent Tree Models [paper]
Xiaofei Wang, Jianhua Guo*, Lizhu Hao, Nevin L. Zhang
Statistics and Its Interface 2017 - The Tree Structure of Graphs for Various Graphical Models [paper]
Xiaofei Wang, Jianhua Guo*
Statistics and Its Interface 2013 - Finding the Minimal Set for Collapsible Graphical Models [paper]
Xiaofei Wang, Jianhua Guo, Xuming He
Proceedings of the American Mathematical Society 2011 - Junction Trees of General Graphs [paper]
Xiaofei Wang, Jianhua Guo*
Frontiers of Mathematics in China 2008
