Thang D. Bui
According to our database^{1},
Thang D. Bui
authored at least 14 papers
between 2014 and 2020.
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Bibliography
2020
Variational AutoRegressive 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 PseudoPoint 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
BlackBox 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
Treestructured Gaussian Process Approximations.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014