Concepedia

Marginal Likelihood Optimization

Marginal Likelihood Optimization is a methodological framework within Gaussian process modeling that involves the maximization of the marginal likelihood to infer optimal hyperparameters by integrating out the latent function values, thereby balancing model fit and complexity through a principled Bayesian approach.

62

Publications

4.2K

Citations

157

Authors

76

Institutions

Publications per year

2017–2026

25

Parents

Publications

62

Fast Marginal Likelihood Maximisation for Sparse Bayesian Models

Michael E. Tipping, Anita Faul · 2003 · 726 citations

, , +17

Efficient marginal likelihood optimization in blind deconvolution

Anat Levin, Yair Weiss, Frédo Durand et al. · 2011 · 633 citations · Full text

, , +13

Stochastic Gradient VB and the Variational Auto-Encoder

Diederik P. Kingma, Max Welling · arXiv (Cornell University) · 2013 · 233 citations · Full text

, , +16

Sparse Bayesian Extreme Learning Machine for Multi-classification

Jiahua Luo, Chi‐Man Vong, Pak Kin Wong · IEEE Transactions on Neural Networks and Learning Systems · 2013 · 193 citations

, , +13

Gaussian Process Training with Input Noise

Andrew McHutchon, Carl Edward Rasmussen · 2011 · 183 citations

, , +15

1–5 of 62

Authors

157

  1. TB
    Taylor Berg-Kirkpatrick

    University of California San Diego, United States

    3 publications · 296 citations

    3

    h-index

  2. JH
    Junxian He

    Carnegie Mellon University, United States

    3 publications · 296 citations

    3

    h-index

  3. GN
    Graham Neubig

    Carnegie Mellon University, United States

    3 publications · 296 citations

    3

    h-index

  4. KK
    Karl Krauth

    University of California, Berkeley, United States

    2 publications · 44 citations

    2

    h-index

  5. KT
    Kazuyuki Tanaka

    Tohoku University, Japan

    2 publications · 45 citations

    2

    h-index

1–5 of 157

Institutions

76

  1. University of Cambridge

    Cambridge, United Kingdom

    4 h-index

    8 publications

    448 citations

  2. Google (United States)

    Mountain View, United States

    3 h-index

    6 publications

    274 citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    9 publications

    888 citations

  4. University of York

    York, United Kingdom

    2 h-index

    2 publications

    211 citations

  5. University of Padua

    Padua, Italy

    2 h-index

    5 publications

    105 citations

  6. Tohoku University

    Sendai, Japan

    2 h-index

    2 publications

    45 citations

  7. University of Glasgow

    Glasgow, United Kingdom

    2 h-index

    5 publications

    155 citations

  8. University of Sheffield

    Sheffield, United Kingdom

    2 h-index

    2 publications

    67 citations

1–8 of 76

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 857 citations

    14

    h-index

  2. Biometrics

    2 publications · 74 citations

    2

    h-index

  3. Bioinformatics

    1 publications · 34 citations

    1

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5