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Streaming Sparse Gaussian Process Approximations
19 May 2017
T. Bui
Cuong V Nguyen
Richard Turner
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Papers citing
"Streaming Sparse Gaussian Process Approximations"
11 / 61 papers shown
Title
Recursive Estimation for Sparse Gaussian Process Regression
Manuel Schürch
Dario Azzimonti
A. Benavoli
Marco Zaffalon
65
33
0
28 May 2019
Scalable Training of Inference Networks for Gaussian-Process Models
Jiaxin Shi
Mohammad Emtiyaz Khan
Jun Zhu
BDL
49
18
0
27 May 2019
Sequential Gaussian Processes for Online Learning of Nonstationary Functions
M. Zhang
Bianca Dumitrascu
Sinead Williamson
Barbara E. Engelhardt
48
8
0
24 May 2019
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLL
BDL
71
187
0
31 Jan 2019
Partitioned Variational Inference: A unified framework encompassing federated and continual learning
T. Bui
Cuong V Nguyen
S. Swaroop
Richard Turner
FedML
91
56
0
27 Nov 2018
Directional grid maps: modeling multimodal angular uncertainty in dynamic environments
Ransalu Senanayake
F. Ramos
62
27
0
03 Sep 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs
Haitao Liu
Yew-Soon Ong
Xiaobo Shen
Jianfei Cai
GP
136
697
0
03 Jul 2018
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems
T. Hoang
Q. Hoang
K. H. Low
Jonathan P. How
43
7
0
23 May 2018
Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression
Haibin Yu
T. Hoang
K. H. Low
Patrick Jaillet
BDL
173
24
0
01 Nov 2017
Variational Continual Learning
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard Turner
CLL
VLM
BDL
118
736
0
29 Oct 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations using Power Expectation Propagation
T. Bui
Josiah Yan
Richard Turner
89
25
0
23 May 2016
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