Bui, Hung

29 publications

ICML 2022 On Transportation of Mini-Batches: A Hierarchical Approach Khai Nguyen, Dang Nguyen, Quoc Dinh Nguyen, Tung Pham, Hung Bui, Dinh Phung, Trung Le, Nhat Ho

ICLR 2021 Distributional Sliced-Wasserstein and Applications to Generative Modeling Khai Nguyen, Nhat Ho, Tung Pham, Hung Bui

ICLR 2021 Improving Relational Regularized Autoencoders with Spherical Sliced Fused Gromov Wasserstein Khai Nguyen, Son Nguyen, Nhat Ho, Tung Pham, Hung Bui

ICML 2021 LAMDA: Label Matching Deep Domain Adaptation Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung

AAAI 2021 Learning Compositional Sparse Gaussian Processes with a Shrinkage Prior Anh Tong, Toan M. Tran, Hung Bui, Jaesik Choi

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

NeurIPS 2021 On Learning Domain-Invariant Representations for Transfer Learning with Multiple Sources Trung Phung, Trung Le, Tung-Long Vuong, Toan Tran, Anh Tran, Hung Bui, Dinh Phung

NeurIPS 2021 On Robust Optimal Transport: Computational Complexity and Barycenter Computation Khang Le, Huy Nguyen, Quang M Nguyen, Tung Pham, Hung Bui, Nhat Ho

NeurIPS 2021 Structured Dropout Variational Inference for Bayesian Neural Networks Son Nguyen, Duong Nguyen, Khai Nguyen, Khoat Than, Hung Bui, Nhat Ho

ICML 2021 Temporal Predictive Coding for Model-Based Planning in Latent Space Tung D Nguyen, Rui Shu, Tuan Pham, Hung Bui, Stefano Ermon

ICML 2020 Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems Zhe Dong, Bryan Seybold, Kevin Murphy, Hung Bui

ICML 2020 On Unbalanced Optimal Transport: An Analysis of Sinkhorn Algorithm Khiem Pham, Khang Le, Nhat Ho, Tung Pham, Hung Bui

ICLR 2020 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control Nir Levine, Yinlam Chow, Rui Shu, Ang Li, Mohammad Ghavamzadeh, Hung Bui

ICML 2020 Predictive Coding for Locally-Linear Control Rui Shu, Tung Nguyen, Yinlam Chow, Tuan Pham, Khoat Than, Mohammad Ghavamzadeh, Stefano Ermon, Hung Bui

IJCAI 2019 Learning Generative Adversarial Networks from Multiple Data Sources Trung Le, Quan Hoang, Hung Vu, Tu Dinh Nguyen, Hung Bui, Dinh Q. Phung

IJCAI 2019 Three-Player Wasserstein GAN via Amortised Duality Nhan Dam, Quan Hoang, Trung Le, Tu Dinh Nguyen, Hung Bui, Dinh Phung

AISTATS 2019 Training Variational Autoencoders with Buffered Stochastic Variational Inference Rui Shu, Hung Bui, Jay Whang, Stefano Ermon

ICLR 2018 A DIRT-T Approach to Unsupervised Domain Adaptation Rui Shu, Hung Bui, Hirokazu Narui, Stefano Ermon

AISTATS 2018 Robust Locally-Linear Controllable Embedding Ershad Banijamali, Rui Shu, Mohammad Ghavamzadeh, Hung Bui, Ali Ghodsi

ECML-PKDD 2018 SpectralLeader: Online Spectral Learning for Single Topic Models Tong Yu, Branislav Kveton, Zheng Wen, Hung Bui, Ole J. Mengshoel

IJCAI 2017 Discriminative Bayesian Nonparametric Clustering Vu Nguyen, Dinh Q. Phung, Trung Le, Hung Bui

IJCAI 2017 Large-Scale Online Kernel Learning with Random Feature Reparameterization Tu Dinh Nguyen, Trung Le, Hung Bui, Dinh Q. Phung

ECML-PKDD 2016 Graphical Model Sketch Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun

IJCAI 2016 Practical Linear Models for Large-Scale One-Class Collaborative Filtering Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner

ICML 2014 Bayesian Nonparametric Multilevel Clustering with Group-Level Contexts Tien Vu Nguyen, Dinh Phung, Xuanlong Nguyen, Swetha Venkatesh, Hung Bui

UAI 2013 Automorphism Groups of Graphical Models and Lifted Variational Inference Hung Bui, Tuyen N. Huynh, Sebastian Riedel

IJCAI 2009 Efficient Online Learning and Prediction of Users' Desktop Actions Omid Madani, Hung Bui, Eric Yeh

NeurIPS 2008 Hierarchical Semi-Markov Conditional Random Fields for Recursive Sequential Data Tran T. Truyen, Dinh Phung, Hung Bui, Svetha Venkatesh

CVPR 2005 Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models Nam Thanh Nguyen, Dinh Q. Phung, Svetha Venkatesh, Hung Bui