Huynh, Viet

10 publications

ICLR 2021 Neural Topic Model via Optimal Transport He Zhao, Dinh Phung, Viet Huynh, Trung Le, Wray Buntine

JMLR 2021 On Efficient Multilevel Clustering via Wasserstein Distances Viet Huynh, Nhat Ho, Nhan Dam, XuanLong Nguyen, Mikhail Yurochkin, Hung Bui, Dinh Phung

IJCAI 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges Viet Huynh, Dinh Q. Phung, He Zhao

IJCAI 2021 Topic Modelling Meets Deep Neural Networks: A Survey He Zhao, Dinh Q. Phung, Viet Huynh, Yuan Jin, Lan Du, Wray L. Buntine

NeurIPS 2020 OTLDA: A Geometry-Aware Optimal Transport Approach for Topic Modeling Viet Huynh, He Zhao, Dinh Phung

AISTATS 2019 Probabilistic Multilevel Clustering via Composite Transportation Distance Nhat Ho, Viet Huynh, Dinh Phung, Michael Jordan

ICML 2017 Multilevel Clustering via Wasserstein Means Nhat Ho, XuanLong Nguyen, Mikhail Yurochkin, Hung Hai Bui, Viet Huynh, Dinh Phung

UAI 2017 Supervised Restricted Boltzmann Machines Tu Dinh Nguyen, Dinh Q. Phung, Viet Huynh, Trung Le

UAI 2016 Scalable Nonparametric Bayesian Multilevel Clustering Viet Huynh, Dinh Q. Phung, Svetha Venkatesh, XuanLong Nguyen, Matthew D. Hoffman, Hung Hai Bui

ACML 2015 Streaming Variational Inference for Dirichlet Process Mixtures Viet Huynh, Dinh Phung, Svetha Venkatesh