He, Yangbo

1. On Low Rank Directed Acyclic Graphs and Causal Structure Learning
   2020/06/10 by Zhuangyan Fang, Shengyu Zhu, Fang, Zhuangyan +9 · 3 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning
2. On the Representation of Pairwise Causal Background Knowledge and Its Applications in Causal Inference
   2022/07/10 by Zhuangyan Fang, Fang, Zhuangyan, Ruiqi Zhao +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Identification and estimation of causal effects in the presence of confounded principal strata
   2022/06/16 by Shanshan Luo, Wei Li, Luo, Shanshan +5 · 1 citation
   Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
4. Identifying Causal Effects Using Instrumental Variables from the Auxiliary Dataset
   2023/09/05 by Kang Shuai, Shuai, Kang, Shanshan Luo +5 · 1 citation
   Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Methodology (stat.ME) #Statistical Methods and Bayesian Inference
5. Formulas for Counting the Sizes of Markov Equivalence Classes of Directed Acyclic Graphs
   2016/10/23 by Yangbo He, Bin Yu, He, Yangbo +1 · 2 citations
   Computer Science · Medicine · #Bayesian Modeling and Causal Inference #Cholinesterase and Neurodegenerative Diseases #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Machine Learning and Algorithms