Bui, Thang D.

12 publications

NeurIPS 2025 Rao-Blackwellised Reparameterisation Gradients Kevin H. Lam, Thang D Bui, George Deligiannidis, Yee Whye Teh

NeurIPS 2025 Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited Thang D Bui, Michalis Titsias

TMLR 2025 Tighter Sparse Variational Gaussian Processes Thang D Bui, Matthew Ashman, Richard E. Turner

TMLR 2024 Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity Jack William Miller, Charles O'Neill, Thang D Bui

ICML 2021 Variational Auto-Regressive Gaussian Processes for Continual Learning Sanyam Kapoor, Theofanis Karaletsos, Thang D Bui

NeurIPSW 2020 Annealed Importance Sampling with Q-Paths Rob Brekelmans, Vaden Masrani, Thang D Bui, Frank Wood, Aram Galstyan, Greg Ver Steeg, Frank Nielsen

NeurIPS 2020 Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights Theofanis Karaletsos, Thang D Bui

ICLR 2018 Variational Continual Learning Cuong V. Nguyen, Yingzhen Li, Thang D. Bui, Richard E. Turner

JMLR 2017 A Unifying Framework for Gaussian Process Pseudo-Point Approximations Using Power Expectation Propagation Thang D. Bui, Josiah Yan, Richard E. Turner

NeurIPS 2017 Streaming Sparse Gaussian Process Approximations Thang D Bui, Cuong Nguyen, Richard E Turner

NeurIPS 2015 Learning Stationary Time Series Using Gaussian Processes with Nonparametric Kernels Felipe Tobar, Thang D Bui, Richard E Turner

NeurIPS 2014 Tree-Structured Gaussian Process Approximations Thang D Bui, Richard E Turner