Thang D. Bui

According to our database1, Thang D. Bui authored at least 14 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

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Bibliography

2020
Variational Auto-Regressive Gaussian Processes for Continual Learning.
CoRR, 2020

Hierarchical Gaussian Process Priors for Bayesian Neural Network Weights.
CoRR, 2020

2019
Improving and Understanding Variational Continual Learning.
CoRR, 2019

2018
Partitioned Variational Inference: A unified framework encompassing federated and continual learning.
CoRR, 2018

Neural Graph Learning: Training Neural Networks Using Graphs.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

Variational Continual Learning.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation.
J. Mach. Learn. Res., 2017

Neural Graph Machines: Learning Neural Networks Using Graphs.
CoRR, 2017

Streaming Sparse Gaussian Process Approximations.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
A Unifying Framework for Sparse Gaussian Process Approximation using Power Expectation Propagation.
CoRR, 2016

Black-Box Alpha Divergence Minimization.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Deep Gaussian Processes for Regression using Approximate Expectation Propagation.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014
Tree-structured Gaussian Process Approximations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014


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