Concepedia

Bayesian Optimization

Bayesian Optimization is a sequential decision-making framework for global optimization of expensive-to-evaluate black-box functions that uses a probabilistic surrogate model, typically a Gaussian process, to balance exploration and exploitation via an acquisition function derived from Bayesian updating.

2.6K

Publications

156.7K

Citations

7.9K

Authors

2K

Institutions

Publications per year

2017–2026

2K

Parents

Publications

2.6K

Practical Bayesian Optimization of Machine Learning Algorithms

Jasper Snoek, Hugo Larochelle, Ryan P. Adams · arXiv (Cornell University) · 2012 · 5.7K citations · Full text

, , +16

Applied Probability Models with Optimization Applications.

J. Gani, Sheldon M. Ross · Journal of the American Statistical Association · 1971 · 2.2K citations

, , +13

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Eric Brochu, Vlad M. Cora, Nando de Freitas · arXiv (Cornell University) · 2010 · 2.2K citations · Full text

, , +15

A tutorial on Gaussian process regression: Modelling, exploring, and exploiting functions

Eric Schulz, Maarten Speekenbrink, Andreas Krause · Journal of Mathematical Psychology · 2018 · 1.7K citations

, , +17

Hyperparameter Optimization for Machine Learning Models Based on Bayesian Optimization

Jia Wu, Xiu Yun Chen, Hao Zhang et al. · HAL (Le Centre pour la Communication Scientifique Directe) · 2019 · 1.4K citations · Full text

, , +15

1–5 of 2.6K

Authors

7.9K

  1. PI
    Peter I. Frazier

    Cornell University, United States

    30 publications · 2.8K citations

    23

    h-index

  2. FH
    Frank Hutter

    University of Freiburg, Germany

    24 publications · 5.5K citations

    20

    h-index

  3. MP
    Martin Pelikán

    University of Illinois Urbana-Champaign, United States

    25 publications · 2.5K citations

    20

    h-index

  4. DE
    David E. Goldberg

    University of Illinois Urbana-Champaign, United States

    21 publications · 2.4K citations

    19

    h-index

  5. AK
    Andreas Krause

    ETH Zurich, Switzerland

    26 publications · 3.1K citations

    19

    h-index

1–5 of 7.9K

Institutions

2K

  1. Massachusetts Institute of Technology

    Cambridge, United States

    32 h-index

    141 publications

    11.8K citations

  2. Imperial College London

    London, United Kingdom

    31 h-index

    110 publications

    5.6K citations

  3. University of Cambridge

    Cambridge, United Kingdom

    31 h-index

    113 publications

    9.8K citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    28 h-index

    134 publications

    13.2K citations

  5. Harvard University

    Cambridge, United States

    26 h-index

    92 publications

    24.7K citations

  6. The University of Tokyo

    Tokyo, Japan

    26 h-index

    93 publications

    6.4K citations

  7. University of California, Berkeley

    Berkeley, United States

    26 h-index

    85 publications

    5.7K citations

  8. Cornell University

    Ithaca, United States

    26 h-index

    82 publications

    4.2K citations

1–8 of 2K

Venues

  1. arXiv (Cornell University)

    Repository · 302 publications · 22.6K citations

    62

    h-index

  2. IEEE Access

    49 publications · 2.8K citations

    30

    h-index

  3. Scientific Reports

    35 publications · 2K citations

    24

    h-index

  4. Energies

    24 publications · 1.1K citations

    18

    h-index

  5. Sensors

    25 publications · 894 citations

    17

    h-index

1–5