Thang D. Bui

Bio

I'm a lecturer (equivalent to tenure-track Assistant Professor) in Machine Learning at the School of Computing, Australian National University since July 2022. Before that, I was a lecturer at the University of Sydney from 2018 to 2022 and spent two years (2019-2020) at Uber AI. I completed my doctoral training at the Cambridge Machine Learning group, supervised by Richard Turner and advised by Carl Rasmussen.

My current research interests include probabilistic modelling and inference, Monte Carlo and approximate inference methods, distributed, active and continual learning, and model-based reinforcement learning. My group currently focus on

• how to obtain uncertainty estimates (for example, developing efficient approximate inference methods for Gaussian processes and neural networks)

• how to update models and uncertainty in changing environments (for example, developing continual learning or unlearning methods for streaming data)

• how to interpret models and algorithms (for example, understanding behaviours in transformers or neural network training)

News

• 2/2025 New preprint on tighter sparse variational GP approximations

• 11/2024 Attending a Dagstuhl workshop

• 10/2024 Two preprints on semantic entropy in LLMs and likelihood approximations

Contact

Hanna Neumann Building 145, Office 2.22
School of Computing, College of Engineering and Computer Science
The Australian National University, Australia
thang.bui at at at at anu.edu.au