I'm a lecturer (equivalent to tenure-track Assistant Professor) in Machine Learning and Data Science at the University of Sydney, Australia.
I'm taking leave to spend time at Uber AI, working on probabilistic modelling, approximate inference, continual learning, model-based reinforcement learning, and bandits.
I completed my doctoral training at the Cambridge Machine Learning group, supervised by Richard Turner and advised by Carl Rasmussen. I worked on Gaussian process models and generic approximation methods.
Thang Bui
note
Sanyam Kapoor, Theofanis Karaletsos, Thang Bui
https://arxiv.org/abs/2006.05468
Thang Bui, Cuong Nguyen, Siddharth Swaroop, Rich Turner
https://arxiv.org/abs/1811.11206
Theofanis Karaletsos and Thang Bui
NeurIPS 2020
arxiv
Cuong Nguyen, Yingzhen Li, Thang Bui, and Rich Turner,
ICLR 2018
arxiv
Thang Bui, Sujith Ravi, and Vivek Ramavajjala
WSDM 2018
arxiv
Thang Bui, Cuong Nguyen, and Rich Turner
NIPS 2017
arxiv code
Thang Bui, José Miguel Hernández-Lobato, Yingzhen Li, Daniel Hernández-Lobato, and Rich Turner
ICML 2016
paper code
José Miguel Hernández-Lobato, Yingzhen Li, Mark Rowland, Daniel Hernández-Lobato, Thang Bui, and Rich Turner
ICML 2016
paper code
Felipe Tobar, Thang Bui, and Rich Turner
NIPS 2015 (Spotlight, acceptance rate = 3.6%)
paper
Thang Bui and Rich Turner
NIPS 2014 (Spotlight, acceptance rate = 3.6%)
paper code
PhD thesis
University of Cambridge
pdf
typos in the print version
Thang Bui, Cuong Nguyen, Siddharth Swaroop, and Rich Turner
NeurIPS Bayesian Deep Learning Workshop, 2018
Siddharth Swaroop, Cuong Nguyen, Thang Bui, and Rich Turner
NeurIPS Continual Learning Workshop, 2018
Hanna Tseran, Emtiyaz Khan, Tatsuya Harada and Thang Bui
NeurIPS Continual Learning Workshop, 2018
Cuong Nguyen, Yingzhen Li, Thang Bui, and Rich Turner
NIPS Bayesian Deep Learning Workshop, 2017
Cuong Nguyen, Thang Bui, Yingzhen Li, and Rich Turner
ICML Time Series Workshop, 2017
Daniel Hernández-Lobato, Thang Bui, José Miguel Hernández-Lobato, Yingzhen Li, and Rich Turner
NIPS Workshop on Bayesian Deep Learning, 2016
Thang Bui, Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Yingzhen Li, and Rich Turner
NIPS Workshop on Advances in Approximate Bayesian Inference, 2016
Will Tebbutt, Thang Bui and Rich Turner
NIPS Workshop on Advances in Approximate Bayesian Inference, 2016
Thang Bui, Carl Rasmussen and Rich Turner
ICML Workshop on Data efficient Machine Learning, 2016
Thang Bui, José Miguel Hernández-Lobato, Yingzhen Li, Daniel Hernández-Lobato and Rich Turner
NIPS Workshop on Advances in Approximate Bayesian Inference, 2015
Thang Bui and Rich Turner
NIPS Workshop on Black Box Learning and Inference, 2015
José Miguel Hernández-Lobato, Yingzhen Li, Daniel Hernández-Lobato, Thang Bui and Rich Turner
NIPS Workshops on Advances in Approximate Bayesian Inference and Black Box Learning and Inference, 2015.
Daniel Hernández-Lobato, José Miguel Hernández-Lobato, Yingzhen Li, Thang Bui and Rich Turner
NIPS Workshop on Advances in Approximate Bayesian Inference, 2015.
Felipe Tobar, Thang Bui and Rich Turner
NIPS Workshop on Time Series, 2015 Best paper prize
Thang Bui and Rich Turner
report
Reviewer for JMLR (2016, 2017, 2018), NIPS (2016-20), ICLR (2017-21), ICML (2017-20), AISTATS (2018-21), UAI (2018) and various NIPS and ICML workshops
thang.buivn at at at at gmail.com