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    - family: Hensman
      given: James
  citation-key: AdamDoubly2020
  container-title: AISTATS
  issued:
    - year: 2020
      month: 1
      day: 15
  title: Doubly Sparse Variational Gaussian Processes
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- id: AmeliSingular2023
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  language: en
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- id: BarfootFundamental2020
  accessed:
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      month: 1
      day: 18
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  citation-key: BarfootFundamental2020
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  issued:
    - year: 2020
      month: 10
      day: 15
  number: arXiv:2010.08022
  publisher: arXiv
  title: Fundamental Linear Algebra Problem of Gaussian Inference
  type: article
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- id: BonillaGeneric2019
  accessed:
    - year: 2020
      month: 10
      day: 28
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  issued:
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  title: Generic Inference in Latent Gaussian Process Models
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- id: BonillaMultitask2007
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  collection-title: NIPS'07
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- id: BonillaVariational2017
  author:
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      given: Edwin V
  citation-key: BonillaVariational2017
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  language: en
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- id: BruinsmaScalable2020
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  container-title: International Conference on Machine Learning
  event-title: International Conference on Machine Learning
  ISSN: 2640-3498
  issued:
    - year: 2020
      month: 11
      day: 21
  language: en
  page: 1190-1201
  publisher: PMLR
  title: Scalable Exact Inference in Multi-Output Gaussian Processes
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- id: DahlScalable2017
  author:
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      given: Astrid
    - family: Bonilla
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  citation-key: DahlScalable2017
  collection-title: Lecture Notes in Computer Science
  container-title: >-
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  DOI: 10.1007/978-3-319-71643-5_9
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    - family: Aung
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  event-place: Cham
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  issued:
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  language: en
  page: 94-106
  publisher: Springer International Publishing
  publisher-place: Cham
  title: Scalable Gaussian Process Models for Solar Power Forecasting
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- id: DahlSparse2019
  accessed:
    - year: 2019
      month: 5
      day: 1
  author:
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      given: Astrid
    - family: Bonilla
      given: Edwin V.
  citation-key: DahlSparse2019
  container-title: arXiv:1903.03986 [cs, stat]
  issued:
    - year: 2019
      month: 3
      day: 10
  title: Sparse Grouped Gaussian Processes for Solar Power Forecasting
  type: article-journal
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- id: deGarisMatthewsScalable2017
  accessed:
    - year: 2020
      month: 9
      day: 10
  author:
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      given: Alexander Graeme de Garis
  citation-key: deGarisMatthewsScalable2017
  DOI: 10.17863/CAM.25348
  genre: Thesis
  issued:
    - year: 2017
      month: 3
      day: 25
  language: en
  publisher: University of Cambridge
  title: Scalable Gaussian process inference using variational methods
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- id: DezfouliScalable2015
  accessed:
    - year: 2018
      month: 3
      day: 13
  author:
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      given: Amir
    - family: Bonilla
      given: Edwin V.
  citation-key: DezfouliScalable2015
  collection-title: NIPS'15
  container-title: Advances in Neural Information Processing Systems 28
  event-place: Cambridge, MA, USA
  issued:
    - year: 2015
  page: 1414–1422
  publisher: MIT Press
  publisher-place: Cambridge, MA, USA
  title: Scalable Inference for Gaussian Process Models with Black-box Likelihoods
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- id: DutordoirDeep2021
  accessed:
    - year: 2021
      month: 5
      day: 12
  author:
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      given: Vincent
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      given: Mark
      non-dropping-particle: van der
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  container-title: arXiv:2105.04504 [cs, stat]
  event-title: Advances in Neural Information Processing Systems
  issued:
    - year: 2021
      month: 5
      day: 10
  title: Deep Neural Networks as Point Estimates for Deep Gaussian Processes
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- id: GalyFajouFlexible2021
  accessed:
    - year: 2022
      month: 7
      day: 25
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      given: Théo
    - family: Perrone
      given: Valerio
    - family: Opper
      given: Manfred
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  container-title: Entropy
  DOI: 10.3390/e23080990
  ISSN: 1099-4300
  issue: '8'
  issued:
    - year: 2021
      month: 8
  language: en
  number: '8'
  page: '990'
  publisher: Multidisciplinary Digital Publishing Institute
  title: >-
    Flexible and Efficient Inference with Particles for the Variational Gaussian
    Approximation
  type: article-journal
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- id: HensmanGaussian2013
  accessed:
    - year: 2022
      month: 7
      day: 29
  author:
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      given: James
    - family: Fusi
      given: Nicolò
    - family: Lawrence
      given: Neil D.
  citation-key: HensmanGaussian2013
  collection-title: UAI'13
  container-title: >-
    Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial
    Intelligence
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  event-place: Arlington, Virginia, USA
  issued:
    - year: 2013
      month: 8
      day: 11
  page: 282–290
  publisher: AUAI Press
  publisher-place: Arlington, Virginia, USA
  title: Gaussian processes for Big data
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- id: KrauthAutoGP2016
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      given: Karl
    - family: Bonilla
      given: Edwin V.
    - family: Cutajar
      given: Kurt
    - family: Filippone
      given: Maurizio
  citation-key: KrauthAutoGP2016
  container-title: UAI17
  event-title: Conference on Uncertainty in Artifical Intelligence
  issued:
    - year: 2016
      month: 10
      day: 17
  title: >-
    AutoGP: Exploring the Capabilities and Limitations of Gaussian Process
    Models
  type: paper-conference
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- id: LazaroGredillaInterdomain2009
  accessed:
    - year: 2023
      month: 9
      day: 22
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      given: Miguel
    - family: Figueiras-Vidal
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  container-title: Advances in Neural Information Processing Systems
  issued:
    - year: 2009
  publisher: Curran Associates, Inc.
  title: Inter-domain Gaussian Processes for Sparse Inference using Inducing Features
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- id: LeibfriedTutorial2022
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      month: 12
      day: 20
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      given: Felix
    - family: Dutordoir
      given: Vincent
    - family: John
      given: S. T.
    - family: Durrande
      given: Nicolas
  citation-key: LeibfriedTutorial2022
  DOI: 10.48550/arXiv.2012.13962
  issued:
    - year: 2022
      month: 12
      day: 4
  publisher: arXiv
  title: A Tutorial on Sparse Gaussian Processes and Variational Inference
  type: article
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- id: LemercierSigGPDE2021
  accessed:
    - year: 2022
      month: 8
      day: 31
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    - family: Salvi
      given: Cristopher
    - family: Cass
      given: Thomas
    - family: Bonilla
      given: Edwin V.
    - family: Damoulas
      given: Theodoros
    - family: Lyons
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  container-title: Proceedings of the 38th International Conference on Machine Learning
  DOI: 10.48550/arXiv.2105.04211
  event-title: ICML
  ISSN: 2640-3498
  issued:
    - year: 2021
      month: 10
      day: 7
  language: en
  title: 'SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data'
  type: paper-conference
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- id: MeantiKernel2020
  accessed:
    - year: 2023
      month: 7
      day: 20
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      given: Giacomo
    - family: Carratino
      given: Luigi
    - family: Rosasco
      given: Lorenzo
    - family: Rudi
      given: Alessandro
  citation-key: MeantiKernel2020
  collection-title: NIPS'20
  container-title: >-
    Proceedings of the 34th International Conference on Neural Information
    Processing Systems
  event-place: Red Hook, NY, USA
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  issued:
    - year: 2020
      month: 12
      day: 6
  page: 14410–14422
  publisher: Curran Associates Inc.
  publisher-place: Red Hook, NY, USA
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- id: NguyenAutomated2014
  accessed:
    - year: 2020
      month: 10
      day: 22
  author:
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      given: Trung V.
    - family: Bonilla
      given: Edwin V.
  citation-key: NguyenAutomated2014
  collection-title: NIPS'14
  container-title: >-
    Proceedings of the 27th International Conference on Neural Information
    Processing Systems - Volume 1
  event-place: Cambridge, MA, USA
  issued:
    - year: 2014
      month: 12
      day: 8
  page: 1404–1412
  publisher: MIT Press
  publisher-place: Cambridge, MA, USA
  title: Automated variational inference for Gaussian process models
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- id: NowakKriging2013
  author:
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      given: W.
    - family: Litvinenko
      given: A.
  citation-key: NowakKriging2013
  container-title: Mathematical Geosciences
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  DOI: 10.1007/s11004-013-9453-6
  ISSN: 1874-8961, 1874-8953
  issue: '4'
  issued:
    - year: 2013
      month: 5
      day: 1
  language: en
  page: 411-435
  title: >-
    Kriging and Spatial Design Accelerated by Orders of Magnitude: Combining
    Low-Rank Covariance Approximations with FFT-Techniques
  type: article-journal
  URL: >-
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- id: QiSparseposterior2010
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    - year: 2023
      month: 3
      day: 26
  author:
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      given: Yuan Alan
    - family: Abdel-Gawad
      given: Ahmed H.
    - family: Minka
      given: Thomas P.
  citation-key: QiSparseposterior2010
  collection-title: UAI'10
  container-title: >-
    Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial
    Intelligence
  event-place: Arlington, Virginia, USA
  ISBN: 978-0-9749039-6-5
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    - year: 2010
      month: 7
      day: 8
  page: 450–457
  publisher: AUAI Press
  publisher-place: Arlington, Virginia, USA
  title: Sparse-posterior Gaussian processes for general likelihoods
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- id: RitterSparse2021
  accessed:
    - year: 2021
      month: 9
      day: 29
  author:
    - family: Ritter
      given: Hippolyt
    - family: Kukla
      given: Martin
    - family: Zhang
      given: Cheng
    - family: Li
      given: Yingzhen
  citation-key: RitterSparse2021
  container-title: arXiv:2105.14594 [cs, stat]
  issued:
    - year: 2021
      month: 5
      day: 30
  language: en
  title: Sparse Uncertainty Representation in Deep Learning with Inducing Weights
  type: article-journal
  URL: http://arxiv.org/abs/2105.14594

- id: RossiSparse2021
  accessed:
    - year: 2022
      month: 8
      day: 31
  author:
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      given: Simone
    - family: Heinonen
      given: Markus
    - family: Bonilla
      given: Edwin
    - family: Shen
      given: Zheyang
    - family: Filippone
      given: Maurizio
  citation-key: RossiSparse2021
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    Proceedings of The 24th International Conference on Artificial Intelligence
    and Statistics
  DOI: 10.48550/arXiv.2003.03080
  event-title: International Conference on Artificial Intelligence and Statistics
  issued:
    - year: 2021
      month: 3
      day: 18
  language: en
  page: 1837-1845
  publisher: PMLR
  title: >-
    Sparse Gaussian Processes Revisited: Bayesian Approaches to
    Inducing-Variable Approximations
  type: paper-conference
  URL: http://arxiv.org/abs/2003.03080

- id: SaatciGaussian2010
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      month: 10
      day: 8
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      given: Yunus
    - family: Turner
      given: Ryan
    - family: Rasmussen
      given: Carl Edward
  citation-key: SaatciGaussian2010
  collection-title: ICML'10
  container-title: >-
    Proceedings of the 27th International Conference on International Conference
    on Machine Learning
  event-place: Madison, WI, USA
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    - year: 2010
      month: 6
      day: 21
  page: 927–934
  publisher: Omnipress
  publisher-place: Madison, WI, USA
  title: Gaussian process change point models
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- id: SalimbeniDoubly2017
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    - year: 2018
      month: 4
      day: 3
  author:
    - family: Salimbeni
      given: Hugh
    - family: Deisenroth
      given: Marc
  citation-key: SalimbeniDoubly2017
  container-title: Advances In Neural Information Processing Systems
  event-title: NIPS
  issued:
    - year: 2017
      month: 5
      day: 24
  title: Doubly Stochastic Variational Inference for Deep Gaussian Processes
  type: paper-conference
  URL: http://arxiv.org/abs/1705.08933

- id: ShiSparse2020
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    - year: 2022
      month: 2
      day: 28
  author:
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      given: Jiaxin
    - family: Titsias
      given: Michalis
    - family: Mnih
      given: Andriy
  citation-key: ShiSparse2020
  container-title: >-
    Proceedings of the Twenty Third International Conference on Artificial
    Intelligence and Statistics
  event-title: International Conference on Artificial Intelligence and Statistics
  ISSN: 2640-3498
  issued:
    - year: 2020
      month: 6
      day: 3
  language: en
  page: 1932-1942
  publisher: PMLR
  title: Sparse Orthogonal Variational Inference for Gaussian Processes
  type: paper-conference
  URL: http://arxiv.org/abs/1910.10596

- id: SnelsonLocal2007
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    - year: 2023
      month: 10
      day: 5
  author:
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      given: Edward
    - family: Ghahramani
      given: Zoubin
  citation-key: SnelsonLocal2007
  container-title: >-
    Proceedings of the Eleventh International Conference on Artificial
    Intelligence and Statistics
  event-title: Artificial Intelligence and Statistics
  ISSN: 1938-7228
  issued:
    - year: 2007
      month: 3
      day: 11
  language: en
  page: 524-531
  publisher: PMLR
  title: Local and global sparse Gaussian process approximations
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- id: SolinHilbert2020
  accessed:
    - year: 2020
      month: 9
      day: 23
  author:
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      given: Arno
    - family: Särkkä
      given: Simo
  citation-key: SolinHilbert2020
  container-title: Statistics and Computing
  container-title-short: Stat Comput
  DOI: 10.1007/s11222-019-09886-w
  ISSN: 0960-3174, 1573-1375
  issue: '2'
  issued:
    - year: 2020
      month: 3
  page: 419-446
  title: Hilbert Space Methods for Reduced-Rank Gaussian Process Regression
  type: article-journal
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  volume: '30'

- id: TiaoSpherical2023
  accessed:
    - year: 2023
      month: 9
      day: 22
  author:
    - family: Tiao
      given: Louis C.
    - family: Dutordoir
      given: Vincent
    - family: Picheny
      given: Victor
  citation-key: TiaoSpherical2023
  issued:
    - year: 2023
      month: 6
      day: 15
  language: en
  title: Spherical Inducing Features for Orthogonally-Decoupled Gaussian Processes
  type: paper-conference
  URL: http://arxiv.org/abs/2304.14034

- id: TitsiasVariational2009a
  accessed:
    - year: 2017
      month: 10
      day: 16
  author:
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      given: Michalis K.
  citation-key: TitsiasVariational2009a
  container-title: International Conference on Artificial Intelligence and Statistics
  event-title: Artificial Intelligence and Statistics
  ISSN: 1938-7228
  issued:
    - year: 2009
  page: 567–574
  publisher: PMLR
  title: Variational learning of inducing variables in sparse Gaussian processes
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- id: WilsonGaussian2012
  accessed:
    - year: 2020
      month: 11
      day: 4
  author:
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      given: Andrew Gordon
    - family: Knowles
      given: David A.
    - family: Ghahramani
      given: Zoubin
  citation-key: WilsonGaussian2012
  collection-title: ICML'12
  container-title: >-
    Proceedings of the 29th International Coference on International Conference
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  event-place: Madison, WI, USA
  ISBN: 978-1-4503-1285-1
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    - year: 2012
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      day: 26
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  publisher: Omnipress
  publisher-place: Madison, WI, USA
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- id: ZammitMangionFRK2021
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      day: 28
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    - family: Cressie
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  container-title: Journal of Statistical Software
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  ISSN: 1548-7660
  issued:
    - year: 2021
      month: 5
      day: 31
  language: en
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  title: >-
    FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large
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- id: ZhangProperties2022
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      month: 8
      day: 31
  author:
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      given: Yufeng
    - family: Liu
      given: Wanwei
    - family: Chen
      given: Zhenbang
    - family: Wang
      given: Ji
    - family: Li
      given: Kenli
  citation-key: ZhangProperties2022
  DOI: 10.48550/arXiv.2102.05485
  issued:
    - year: 2022
      month: 5
      day: 23
  number: arXiv:2102.05485
  publisher: arXiv
  title: >-
    On the Properties of Kullback-Leibler Divergence Between Multivariate
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- id: ZhangQuantile2020
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      month: 12
      day: 1
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    - family: Rizoiu
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    - family: Xie
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  container-title: Proceedings of NeurIPS 2020
  event-title: Neural Information Processing Systems Online Conference 2020
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      month: 12
  language: en
  title: Quantile Propagation for Wasserstein-Approximate Gaussian Processes
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...
