(Last updated: 15 April 2021)

Up-to-date papers at my Google Scholar profile

Ph.D. Thesis

My thesis Towards Scalable Bayesian Nonparametric Methods for Data Analytics can be found here

Preprints

• Tam Le, Viet Huynh, Nhat Ho, Dinh Phung, Makoto Yamada. 2019. Tree-Wasserstein Barycenter for Large-Scale Multilevel Clustering and Scalable Bayes, arXiv preprint arXiv:1910.04483.

[2021]

• Viet Huynh, Dinh Phung, He Zhao. 2021. Optimal transport for deep generative models: State of the art and research challenges. In the Proc. of The International Joint Conference on Artificial Intelligence (Survey track) (IJCAI).
• He Zhao, Dinh Phung, Viet Huynh, Yuan Jin, Lan Du, Wray Buntine. 2021. Topic Modelling Meets Deep Neural Networks: A Survey. In the Proc. of The International Joint Conference on Artificial Intelligence (Survey track) (IJCAI).
• Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Phung. 2021. On efficient multilevel clustering via Wasserstein distances. Journal of Machine Learning Research (JMLR).(Accepted under minor revisions).
• He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray Buntine. 2021. Neural topic model via optimal transport. In the Proc. of The International Conference on Learning Representations (ICLR).

[2020]

• Viet Huynh, He Zhao, Dinh Phung. 2020. A Geometry-aware Optimal Transport Approach for Topic Modeling. In the Proc. of The Advances in Neural Information Processing Systems (NeurNIPS).
• Nhan Dam, Trung Le, Viet Huynh, Dinh Phung. 2020. Stein Variational Gradient Descent with Variance Reduction. In the Proc. of The International Joint Conference on Neural Networks (IJCNN).
• Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung. 2020. OptiGAN: Generative Adversarial Networks for Goal Optimized Sequence Generation. In the Proc. of The International Joint Conference on Neural Networks (IJCNN).

[2019]

• Viet Huynh, Nhat Ho, Dinh Phung, Michael I Jordan. 2019. Probabilistic multilevel clustering via composite transportation distance. In the Proc. of The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS).

[Before 2019] See my Google Scholar profile!