Concepedia

Sparse Variational Inference

Sparse Variational Inference is a variational inference method that restricts the variational approximation to a subset of latent variables or induces sparsity in the posterior distribution through structured priors or parameterizations, thereby improving computational efficiency and scalability in high-dimensional models.

56

Publications

1.7K

Citations

152

Authors

63

Institutions

Publications per year

2017–2026

39

Parents

Publications

56

Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis

Yasong Li, Zheng Zhou, Chuang Sun et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 146 citations

, , +17

Group Factor Analysis

Arto Klami, Seppo Virtanen, Eemeli Leppäaho et al. · IEEE Transactions on Neural Networks and Learning Systems · 2014 · 108 citations

, , +15

On Sparse Variational Methods and the Kullback-Leibler Divergence between Stochastic Processes

Alexander Matthews, James Hensman, Richard E. Turner et al. · Apollo (University of Cambridge) · 2016 · 105 citations · Full text

, , +16

Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models

Yarin Gal, Mark van der Wilk, Carl Edward Rasmussen · arXiv (Cornell University) · 2014 · 72 citations · Full text

, , +16

Scalable inference for Gaussian process models with black-box likelihoods

Amir Dezfouli, Edwin V. Bonilla · Neural Information Processing Systems · 2015 · 52 citations

, , +16

1–5 of 56

Authors

152

  1. MV
    Mark van der Wilk

    University of Cambridge, United Kingdom

    5 publications · 209 citations

    5

    h-index

  2. CE
    Carl Edward Rasmussen

    University of Cambridge, United Kingdom

    5 publications · 209 citations

    5

    h-index

  3. DR
    David R. Burt

    University of Maryland, Baltimore, United States

    4 publications · 137 citations

    4

    h-index

  4. LD
    Lea Duncker

    University College London, United Kingdom

    4 publications · 91 citations

    4

    h-index

  5. MS
    Maneesh Sahani

    University College London, United Kingdom

    4 publications · 91 citations

    4

    h-index

1–5 of 152

Institutions

63

  1. University of Cambridge

    Cambridge, United Kingdom

    6 h-index

    15 publications

    777 citations

  2. University College London

    London, United Kingdom

    4 h-index

    7 publications

    142 citations

  3. École Polytechnique Fédérale de Lausanne

    Lausanne, Switzerland

    3 h-index

    11 publications

    267 citations

  4. Imperial College London

    London, United Kingdom

    3 h-index

    4 publications

    112 citations

  5. Amazon (United States)

    Seattle, United States

    2 h-index

    2 publications

    24 citations

  6. Nestlé (Switzerland)

    Vevey, Switzerland

    2 h-index

    6 publications

    117 citations

  7. Georgia Institute of Technology

    Atlanta, United States

    2 h-index

    4 publications

    118 citations

  8. Tufts University

    Medford, United States

    2 h-index

    4 publications

    48 citations

1–8 of 63

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 330 citations

    12

    h-index

  2. 3

    h-index

  3. 3

    h-index

  4. Neural Information Processing Systems

    Conference · 2 publications · 88 citations

    2

    h-index

  5. Journal of Machine Learning Research

    JMLR · 2 publications · 54 citations

    2

    h-index

1–5