Graphical models and machine learning,
mathematical finance
Representative scientific research projects
1. He Yangbo, Jia Jinzhu and Yu Bin Reversible MCMC on Markov equivalence classes of sparse Directed acyclic graphs.Annals of Statistics, Aug 2013.
2. He Yangbo, Jia Jinzhu and Yu Bin Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs.Journal of Machine Learning Research, Dec 2015.
3. He Yangbo, Geng Zhi Active Learning of Causal Networks with Intervention Experiments and Optimal Designs.Journal of Machine Learning Research, Nov 2008.
4. He Yangbo, Geng Zhi, Liang Xing Learning Causal Structures Based on Markov Equivalence Class.Algorithmic Learning Theory LNAI 3734, 92-106 , 2005，Springer.
10 representative papers
