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Thang D Bui
Assistant Professor, Australian National University
Joined
October 2016
Names
Thang D Bui
(Preferred)
,
Thang D. Bui
Emails
****@cam.ac.uk
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@sydney.edu.au
(Confirmed)
,
****@uber.com
(Confirmed)
,
****@anu.edu.au
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
Career & Education History
Assistant Professor
Australian National University
(anu.edu.au)
2022
–
Present
Assistant Professor
University of Sydney
(sydney.edu.au)
2018
–
2022
Research scientist
Uber
(uber.com)
2019
–
2021
PhD student
University of Cambridge
(cam.ac.uk)
2013
–
2017
Advisors, Relations & Conflicts
Coauthor
Frank Wood
2020
–
2021
Coauthor
Vaden Masrani
2020
–
2021
Coauthor
Rob Brekelmans
2020
–
2021
Coauthor
Theofanis Karaletsos
2019
–
2021
Coauthor
Sanyam Kapoor
2019
–
2021
PhD Advisor
Richard E. Turner
2013
–
2017
Expertise
Bayesian deep learning
Present
Generative models/latent variable models/state space models
2014
–
Present
Bayesian inference and approximate Bayesian inference
2013
–
Present
Gaussian processes
2013
–
Present
Publications
Beyond ReinMax: Low-Variance Gradient Estimators for Discrete Latent Variables
Daniel Wang
,
Thang D Bui
Accepted by TMLR
Readers:
Everyone
Active Flow Matching
Yashvir Singh Grewal
,
Edwin V. Bonilla
,
Thang D Bui
AIML-CEB 2025 Oral
Readers:
Everyone
Sparse Gaussian Processes: Structured Approximations and Power-EP Revisited
Thang D Bui
,
Michalis Titsias
NeurIPS 2025 poster
Readers:
Everyone
Rao-Blackwellised Reparameterisation Gradients
Kevin H. Lam
,
Thang D Bui
,
George Deligiannidis
,
Yee Whye Teh
NeurIPS 2025 poster
Readers:
Everyone
Tighter sparse variational Gaussian processes
Thang D Bui
,
Matthew Ashman
,
Richard E. Turner
AABI 2025 Workshop Track
Readers:
Everyone
Tighter sparse variational Gaussian processes
Thang D Bui
,
Matthew Ashman
,
Richard E. Turner
Accepted by TMLR
Readers:
Everyone
Improving Uncertainty Quantification in Large Language Models via Semantic Embeddings
Yashvir Singh Grewal
,
Edwin V. Bonilla
,
Thang D Bui
Submitted to ICLR 2025
Readers:
Everyone
Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity
Jack William Miller
,
Charles O'Neill
,
Thang D Bui
Accepted by TMLR
Readers:
Everyone
Continual Knowledge Graph Link Prediction: Beyond Experience Replay
Han Wu
,
Jie Yin
,
Thang D Bui
,
Balakanapathy Rajaratnam
ICLR 2024 Conference Withdrawn Submission
Readers:
Everyone
Partitioned Variational Inference: A Framework for Probabilistic Federated Learning
Matthew Ashman
,
Thang D. Bui
,
Cuong V. Nguyen
,
Efstratios Markou
,
Adrian Weller
,
Siddharth Swaroop
,
Richard E. Turner
2022 (modified: 13 Mar 2022)
CoRR 2022
Readers:
Everyone
View all 18 publications
Co-Authors
Adrian Weller
Aram Galstyan
Balakanapathy Rajaratnam
Charles O'Neill
Cuong V. Nguyen
Daniel Hernández-Lobato
Daniel Wang
Edwin V. Bonilla
Efstratios Markou
Felipe A. Tobar
Frank Nielsen
Frank Wood
George Deligiannidis
Greg Ver Steeg
Han Wu
Jack William Miller
Jie Yin
José Miguel Hernández-Lobato
Kevin H. Lam
Mark Rowland
Matthew Ashman
Michalis Titsias
Richard E. Turner
Rob Brekelmans
Sanyam Kapoor
View all 31 co-authors