Concepedia

Reparameterization Gradient Estimation

Reparameterization Gradient Estimation is a gradient estimation technique in variational inference that belongs to the class of stochastic gradient methods and differentiates itself by enabling low-variance gradient computation through the explicit reparameterization of random variables with respect to their distributional parameters.

15

Publications

4.1K

Citations

34

Authors

27

Institutions

Publications per year

2017–2026

9

Parents

Publications

15

Categorical Reparameterization with Gumbel-Softmax

Eric Jang, Shixiang Gu, Ben Poole · arXiv (Cornell University) · 2016 · 3.2K citations · Full text

, , +16

Categorical Reparameterization with Gumbel-Softmax

Eric Jang, Shixiang Gu, Ben Poole · arXiv (Cornell University) · 2016 · 217 citations · Full text

, , +16

On reparametrization of loss functions used in estimation and the invariance principle

Petre Stoica, Torsten Söderström · Signal Processing · 1989 · 118 citations

, , +10

Implicit Reparameterization Gradients

Mikhail Figurnov, Shakir Mohamed, Andriy Mnih · Neural Information Processing Systems · 2018 · 86 citations

, , +12

Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference

Geoffrey Roeder, Yuhuai Wu, David Duvenaud · arXiv (Cornell University) · 2017 · 73 citations · Full text

, , +16

1–5 of 15

Authors

34

  1. SG
    Shixiang Gu

    Google (United States), United States

    2 publications · 3.5K citations

    2

    h-index

  2. SM
    Shakir Mohamed

    Google DeepMind (United Kingdom), United Kingdom

    2 publications · 149 citations

    2

    h-index

  3. BP
    Ben Poole

    Google (United States), United States

    2 publications · 3.5K citations

    2

    h-index

  4. AM
    Andriy Mnih

    Google (United States), United States

    2 publications · 149 citations

    2

    h-index

  5. EJ
    Eric Jang

    Google (United States), United States

    2 publications · 3.5K citations

    2

    h-index

1–5 of 34

Institutions

27

  1. University of Amsterdam

    Amsterdam, The Netherlands

    1 h-index

    2 publications

    22 citations

  2. Shinshu University

    Matsumoto, Japan

    1 h-index

    1 publications

    52 citations

  3. Research Institute of Animal Husbandry

    Ulaanbaatar, Mongolia

    1 h-index

    1 publications

    59 citations

  4. Humboldt-Universität zu Berlin

    Berlin, Germany

    1 h-index

    1 publications

    13 citations

  5. National Research University Higher School of Economics

    Moscow, Russia

    1 h-index

    1 publications

    86 citations

  6. University of Bucharest

    Bucharest, Romania

    1 h-index

    1 publications

    118 citations

  7. University of Toronto

    Toronto, Canada

    1 h-index

    2 publications

    146 citations

  8. Columbia University

    New York, United States

    1 h-index

    2 publications

    32 citations

1–8 of 27

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 3.7K citations

    9

    h-index

  2. Genetics Selection Evolution

    GSE · 1 publications · 59 citations

    1

    h-index

  3. International Conference on Machine Learning

    Conference · 1 publications · 40 citations

    1

    h-index

  4. UvA-DARE (University of Amsterdam)

    Repository · 1 publications · 11 citations

    1

    h-index

  5. Neural Information Processing Systems

    Conference · 1 publications · 86 citations

    1

    h-index

1–5