Hu, Changwei

8 publications

ICML 2017 Deep Generative Models for Relational Data with Side Information Changwei Hu, Piyush Rai, Lawrence Carin

AISTATS 2016 Non-Negative Matrix Factorization for Discrete Data with Hierarchical Side-Information Changwei Hu, Piyush Rai, Lawrence Carin

AISTATS 2016 Topic-Based Embeddings for Learning from Large Knowledge Graphs Changwei Hu, Piyush Rai, Lawrence Carin

NeurIPS 2015 Large-Scale Bayesian Multi-Label Learning via Topic-Based Label Embeddings Piyush Rai, Changwei Hu, Ricardo Henao, Lawrence Carin

ECML-PKDD 2015 Scalable Bayesian Non-Negative Tensor Factorization for Massive Count Data Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin

IJCAI 2015 Scalable Probabilistic Tensor Factorization for Binary and Count Data Piyush Rai, Changwei Hu, Matthew Harding, Lawrence Carin

UAI 2015 Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors Changwei Hu, Piyush Rai, Lawrence Carin

AISTATS 2014 Latent Gaussian Models for Topic Modeling Changwei Hu, Eunsu Ryu, David E. Carlson, Yingjian Wang, Lawrence Carin