Yangbo He - RankMe

21 papers A* 1A 4Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference. J. Mach. Learn. Res. Zhuangyan Fang, Ruiqi Zhao, Yue Liu, Yangbo He
2025	J	`jnl`	Robust Bayesian Dynamic Programming for On-policy Risk-sensitive Reinforcement Learning. CoRR Shanyu Han, Yangbo He, Yang Liu
2025	J	`jnl`	VACT: A Video Automatic Causal Testing System and a Benchmark. CoRR Haotong Yang, Qingyuan Zheng, Yunjian Gao, Yongkun Yang, Yangbo He, Zhouchen Lin, Muhan Zhang
2024	J	`jnl`	Learning Causes of Functional Dynamic Targets: Screening and Local Methods. Entropy Ruiqi Zhao, Xiaoxia Yang, Yangbo He
2024	J	`jnl`	Local Causal Discovery with Background Knowledge. CoRR Qingyuan Zheng, Yue Liu, Yangbo He
2024	J	`jnl`	On Low-Rank Directed Acyclic Graphs and Causal Structure Learning. IEEE Trans. Neural Networks Learn. Syst. Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2023	J	`jnl`	Causal discovery of 1-factor measurement models in linear latent variable models with arbitrary noise distributions. Neurocomputing Feng Xie, Yan Zeng, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
2023	A	`conf`	Conditional counterfactual causal effect for individual attribution. UAI Ruiqi Zhao, Lei Zhang, Shengyu Zhu, Zitong Lu, Zhenhua Dong, Chaoliang Zhang, Jun Xu, Zhi Geng, Yangbo He
2022	J	`jnl`	A local method for identifying causal relations under Markov equivalence. Artif. Intell. Zhuangyan Fang, Yue Liu, Zhi Geng, Shengyu Zhu, Yangbo He
2022	A*	`conf`	Identification of Linear Non-Gaussian Latent Hierarchical Structure. ICML Feng Xie, Biwei Huang, Zhengming Chen, Yangbo He, Zhi Geng, Kun Zhang
2022	J	`jnl`	On the Representation of Causal Background Knowledge and its Applications in Causal Inference. CoRR Zhuangyan Fang, Ruiqi Zhao, Yue Liu, Yangbo He
2022	A	`conf`	Performance of Deep Reinforcement Learning for High Frequency Market Making on Actual Tick Data. AAMAS Ziyi Xu, Xue Cheng, Yangbo He
2022	J	`jnl`	Testability of Instrumental Variables in Linear Non-Gaussian Acyclic Causal Models. Entropy Feng Xie, Yangbo He, Zhi Geng, Zhengming Chen, Ru Hou, Kun Zhang
2021	J	`jnl`	A Local Method for Identifying Causal Relations under Markov Equivalence. CoRR Zhuangyan Fang, Yue Liu, Zhi Geng, Yangbo He
2020	A	`conf`	Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects. UAI Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng
2020	A	`conf`	IDA with Background Knowledge. UAI Zhuangyan Fang, Yangbo He
2020	J	`jnl`	Local Causal Network Learning for Finding Pairs of Total and Direct Effects. J. Mach. Learn. Res. Yue Liu, Zhuangyan Fang, Yangbo He, Zhi Geng, Chunchen Liu
2020	J	`jnl`	Low Rank Directed Acyclic Graphs and Causal Structure Learning. CoRR Zhuangyan Fang, Shengyu Zhu, Jiji Zhang, Yue Liu, Zhitang Chen, Yangbo He
2016	J	`jnl`	Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs. CoRR Yangbo He, Bin Yu
2015	J	`jnl`	Counting and exploring sizes of Markov equivalence classes of directed acyclic graphs. J. Mach. Learn. Res. Yangbo He, Jinzhu Jia, Bin Yu
2012	J	`jnl`	Reversible MCMC on Markov equivalence classes of sparse directed acyclic graphs CoRR Yangbo He, Jinzhu Jia, Bin Yu