Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox

Bayesian Transfer Learning: An Overview of Probabilistic Graphical Models for Transfer Learning



Junyu Xuan , Jie Lu , Guangquan Zhang


   Access Paper or Ask Questions

Deep Bayesian Estimation for Dynamic Treatment Regimes with a Long Follow-up Time



Adi Lin , Jie Lu , Junyu Xuan , Fujin Zhu , Guangquan Zhang


   Access Paper or Ask Questions

Hierarchical Reinforcement Learning with Optimal Level Synchronization based on a Deep Generative Model



JaeYoon Kim , Junyu Xuan , Christy Liang , Farookh Hussain

* "for associated code file, see https://github.com/jangikim2/Hierarchical_Reinforcement_Learning" Submitted to IEEE Transactions on Neural Networks and Learning Systems 

   Access Paper or Ask Questions

Path Integral Based Convolution and Pooling for Graph Neural Networks



Zheng Ma , Junyu Xuan , Yu Guang Wang , Ming Li , Pietro Lio

* 15 pages, 4 figures, 6 tables. arXiv admin note: text overlap with arXiv:1904.10996 

   Access Paper or Ask Questions

Open Set Domain Adaptation: Theoretical Bound and Algorithm



Zhen Fang , Jie Lu , Feng Liu , Junyu Xuan , Guangquan Zhang


   Access Paper or Ask Questions

Cooperative Hierarchical Dirichlet Processes: Superposition vs. Maximization



Junyu Xuan , Jie Lu , Guangquan Zhang , Richard Yi Da Xu


   Access Paper or Ask Questions

Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization



Junyu Xuan , Jie Lu , Guangquan Zhang , Richard Yi Da Xu , Xiangfeng Luo

* 14 pages, 10 figures 

   Access Paper or Ask Questions

Nonparametric Relational Topic Models through Dependent Gamma Processes



Junyu Xuan , Jie Lu , Guangquan Zhang , Richard Yi Da Xu , Xiangfeng Luo


   Access Paper or Ask Questions

Infinite Author Topic Model based on Mixed Gamma-Negative Binomial Process



Junyu Xuan , Jie Lu , Guangquan Zhang , Richard Yi Da Xu , Xiangfeng Luo

* 10 pages, 5 figures, submitted to KDD conference 

   Access Paper or Ask Questions