Jiji Zhang

1. On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
   2008/08/15 by Jiji Zhang · 73 citations
   Computer Science · #Bayesian Modeling and Causal Inference #AI-based Problem Solving and Planning #Data Mining Algorithms and Applications
2. Markov categories, causal theories, and the do-calculus
   2022/04/11 by Yimu Yin, Yin, Yimu, Jiji Zhang +1 · 1 voice · 2 citations
   Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Logic, Reasoning, and Knowledge #Semantic Web and Ontologies #cs.AI #cs.LO #math.CT #math.ST
3. Towards Characterizing Markov Equivalence Classes for Directed Acyclic Graphs with Latent Variables
   2012/07/04 by Ayesha R. Ali, Thomas S. Richardson, Ali, Ayesha R. +5 · 4 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks #Machine Learning and Algorithms
4. Detection of Unfaithfulness and Robust Causal Inference
   2008/03/18 by Jiji Zhang, Peter Spirtes · 3 citations
5. On Low Rank Directed Acyclic Graphs and Causal Structure Learning
   2020/06/10 by Zhuangyan Fang, Fang, Zhuangyan, Shengyu Zhu +9 · 3 citations
   Computer Science · #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning
6. Reliable Causal Discovery with Improved Exact Search and Weaker Assumptions
   2022/01/14 by Ignavier Ng, Ng, Ignavier, Yujia Zheng +5 · 2 citations
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
7. A Transformational Characterization of Markov Equivalence for Directed Acyclic Graphs with Latent Variables
   2012/07/04 by Jiji Zhang, Zhang, Jiji, Peter Spirtes +1 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference