Yangbo He

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 16

Top Topics

Causal Relations

Structural Learning

Conditional Independence

Top Venues

J. Mach. Learn. Res.

Publications

Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Ruiqi Zhao, Xiaoxia Yang, Yangbo He
Learning Causes of Functional Dynamic Targets: Screening and Local Methods. Entropy 26 (7) (2024)
Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. Neurocomputing 526 (2023)
Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He
Conditional counterfactual causal effect for individual attribution. UAI (2023)
Zhuangyan Fang, Yue Liu, Zhi Geng, Shengyu Zhu, Yangbo He
A local method for identifying causal relations under Markov equivalence. Artif. Intell. 305 (2022)
Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang
Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models. Entropy 24 (4) (2022)
Ziyi Xu, Xue Cheng, Yangbo He
Performance of Deep Reinforcement Learning for High Frequency Market Making on Actual Tick Data. AAMAS (2022)
Zhuangyan Fang, Ruiqi Zhao, Yue Liu, Yangbo He
On the Representation of Causal Background Knowledge and its Applications in Causal Inference. CoRR (2022)
Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
Identification of Linear Non-Gaussian Latent Hierarchical Structure. ICML (2022)
Zhuangyan Fang, Yue Liu, Zhi Geng, Yangbo He
A Local Method for Identifying Causal Relations under Markov Equivalence. CoRR (2021)
Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng
Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects. UAI (2020)
Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng, Chunchen Liu
Local Causal Network Learning for Finding Pairs of Total and Direct Effects. J. Mach. Learn. Res. 21 (2020)
Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
Low Rank Directed Acyclic Graphs and Causal Structure Learning. CoRR (2020)
Zhuangyan Fang, Yangbo He
IDA with Background Knowledge. UAI (2020)
Yangbo He, Bin Yu
Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs. CoRR (2016)
Yangbo He, Jinzhu Jia, Bin Yu
Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs. J. Mach. Learn. Res. 16 (2015)
Yangbo He, Jinzhu Jia, Bin Yu
Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs CoRR (2012)