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Streaming Sparse Gaussian Process Approximations
v1v2 (latest)

Streaming Sparse Gaussian Process Approximations

19 May 2017
T. Bui
Cuong V Nguyen
Richard Turner
ArXiv (abs)PDFHTML

Papers citing "Streaming Sparse Gaussian Process Approximations"

11 / 61 papers shown
Title
Recursive Estimation for Sparse Gaussian Process Regression
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
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
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
Functional Regularisation for Continual Learning with Gaussian Processes
Michalis K. Titsias
Jonathan Richard Schwarz
A. G. Matthews
Razvan Pascanu
Yee Whye Teh
CLLBDL
71
187
0
31 Jan 2019
Partitioned Variational Inference: A unified framework encompassing
  federated and continual learning
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
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
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
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
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
Variational Continual Learning
Cuong V Nguyen
Yingzhen Li
T. Bui
Richard Turner
CLLVLMBDL
118
736
0
29 Oct 2017
A Unifying Framework for Gaussian Process Pseudo-Point Approximations
  using Power Expectation Propagation
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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