Feng Xie

According to our database, Feng Xie authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables.

Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang

J. Mach. Learn. Res., 2024

Learning Discrete Latent Variable Structures with Tensor Rank Conditions.

Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang

CoRR, 2024

Automating the Selection of Proxy Variables of Unmeasured Confounders.

Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability.

Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen, Xinshuai Dong, Kun Zhang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Nonlinear Causal Discovery for High-Dimensional Deterministic Data.

Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions.

Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang

Neurocomputing, March, 2023

Identification of Nonlinear Latent Hierarchical Models.

Lingjing Kong, Biwei Huang, Feng Xie, Eric P. Xing, Yuejie Chi, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Some General Identification Results for Linear Latent Hierarchical Causal Structure.

Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models.

Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang

Entropy, 2022

Latent Hierarchical Causal Structure Discovery with Rank Constraints.

Biwei Huang, Charles Jia Han Low, Feng Xie, Clark Glymour, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Identification of Linear Non-Gaussian Latent Hierarchical Structure.

Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang

Proceedings of the International Conference on Machine Learning, 2022

Identification of Linear Latent Variable Model with Arbitrary Distribution.

Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Causal Discovery with Multi-Domain LiNGAM for Latent Factors.

Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables.

Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao

IEEE Trans. Neural Networks Learn. Syst., 2020

A causal discovery algorithm based on the prior selection of leaf nodes.

Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang

Neural Networks, 2020

Mining hidden non-redundant causal relationships in online social networks.

Wei Chen, Ruichu Cai, Zhifeng Hao, Chang Yuan, Feng Xie

Neural Comput. Appl., 2020

Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs.

Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang

CoRR, 2020

Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs.

Feng Xie, Ruichu Cai, Biwei Huang, Clark Glymour, Zhifeng Hao, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Triad Constraints for Learning Causal Structure of Latent Variables.

Ruichu Cai, Feng Xie, Clark Glymour, Zhifeng Hao, Kun Zhang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Causal Discovery of Linear Non-Gaussian Acyclic Model with Small Samples.

Feng Xie, Ruichu Cai, Yan Zeng, Zhifeng Hao

Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019

2017

An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data.

Ruichu Cai, Feng Xie, Wei Chen, Zhifeng Hao

Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017