Concepedia

Scalable Gaussian Processes

Scalable Gaussian Processes is a methodological framework within Bayesian nonparametric modeling that extends standard Gaussian Processes to large datasets by introducing approximations or structural constraints to reduce computational complexity from cubic to near-linear in the number of data points.

56

Publications

4K

Citations

150

Authors

76

Institutions

Publications per year

2017–2026

39

Parents

Publications

56

Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series

Daniel Foreman-Mackey, Eric Agol, Sivaram Ambikasaran et al. · The Astronomical Journal · 2017 · 1K citations · Full text

, , +15

GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

Jacob R. Gardner, Geoff Pleiss, David Bindel et al. · arXiv (Cornell University) · 2018 · 539 citations · Full text

, , +17

Scalable Variational Gaussian Process Classification

James Hensman, Alexander Matthews, Zoubin Ghahramani · arXiv (Cornell University) · 2014 · 348 citations · Full text

, , +13

Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP)

Andrew Gordon Wilson, Hannes Nickisch · arXiv (Cornell University) · 2015 · 215 citations · Full text

, , +13

GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration

Jacob R. Gardner, Geoff Pleiss, Kilian Q. Weinberger et al. · Neural Information Processing Systems · 2018 · 204 citations

, , +17

1–5 of 56

Authors

150

  1. AG
    Andrew Gordon Wilson

    Cornell University, United States

    14 publications · 1.4K citations

    13

    h-index

  2. GP
    Geoff Pleiss

    Cornell University, United States

    6 publications · 837 citations

    6

    h-index

  3. JR
    Jacob R. Gardner

    Cornell University, United States

    6 publications · 837 citations

    6

    h-index

  4. KQ
    Kilian Q. Weinberger

    Cornell University, United States

    5 publications · 826 citations

    5

    h-index

  5. HN
    Hannes Nickisch

    Philips (Germany), Germany

    5 publications · 349 citations

    5

    h-index

1–5 of 150

Institutions

76

  1. Cornell University

    Ithaca, United States

    7 h-index

    26 publications

    4.1K citations

  2. University of Cambridge

    Cambridge, United Kingdom

    3 h-index

    7 publications

    775 citations

  3. Northwestern University

    Evanston, United States

    3 h-index

    10 publications

    262 citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    7 publications

    667 citations

  5. Tsinghua University

    Beijing, China

    3 h-index

    5 publications

    204 citations

  6. ETH Zurich

    Zurich, Switzerland

    2 h-index

    4 publications

    52 citations

  7. Columbia University

    New York, United States

    2 h-index

    2 publications

    1K citations

  8. Universidad de Granada

    Granada, Spain

    2 h-index

    5 publications

    133 citations

1–8 of 76

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 1.7K citations

    15

    h-index

  2. International Conference on Artificial Intelligence and Statistics

    Conference · 4 publications · 99 citations

    4

    h-index

  3. Knowledge-Based Systems

    2 publications · 55 citations

    2

    h-index

  4. IEEE Access

    2 publications · 35 citations

    2

    h-index

  5. IEEE Transactions on Cybernetics

    1 publications · 17 citations

    1

    h-index

1–5