Concepedia

Bayesian Online Learning

Bayesian Online Learning is a sequential inference framework within Bayesian learning that recursively updates the posterior distribution over model parameters as new data arrive, distinguishing itself by enabling real-time, incremental adaptation without reprocessing past observations.

125

Publications

5.5K

Citations

341

Authors

151

Institutions

Publications per year

2017–2026

42

Parents

Publications

125

A Bayesian Framework for Reinforcement Learning

Malcolm J. A. Strens · 2000 · 364 citations · Full text

, , +15

Bayesian Optimization with Unknown Constraints

Michael A. Gelbart, Jasper Snoek, Ryan P. Adams · arXiv (Cornell University) · 2014 · 289 citations · Full text

, , +17

Kernel Recursive Least-Squares Tracker for Time-Varying Regression

Steven Van Vaerenbergh, Miguel Lázaro-Gredilla · IEEE Transactions on Neural Networks and Learning Systems · 2012 · 173 citations

, , +16

Bayesian Online Learning of the Hazard Rate in Change-Point Problems

Robert C. Wilson, Matthew R. Nassar, Joshua I. Gold · Neural Computation · 2010 · 166 citations · Full text

, , +16

Adaptive Transition Probability Matrix-Based Parallel IMM Algorithm

Guo Xie, Lanlan Sun, Tao Wen et al. · IEEE Transactions on Systems Man and Cybernetics Systems · 2019 · 135 citations

, , +17

1–5 of 125

Authors

341

  1. MO
    Manfred Opper

    Technische Universität Berlin, Germany

    4 publications · 287 citations

    4

    h-index

  2. PP
    Pascal Poupart

    University of Waterloo, Canada

    3 publications · 57 citations

    3

    h-index

  3. RH
    Ralf Herbrich

    Microsoft Research (United Kingdom), United Kingdom

    3 publications · 57 citations

    3

    h-index

  4. KM
    Kian Ming A. Chai

    DSO National Laboratories, Singapore

    2 publications · 128 citations

    2

    h-index

  5. FH
    Fares Hedayati

    University of California, Berkeley, United States

    2 publications · 21 citations

    2

    h-index

1–5 of 341

Institutions

151

  1. University of California, Berkeley

    Berkeley, United States

    6 h-index

    9 publications

    123 citations

  2. Tsinghua University

    Beijing, China

    5 h-index

    9 publications

    231 citations

  3. Microsoft (United States)

    Redmond, United States

    4 h-index

    10 publications

    156 citations

  4. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    3 publications

    77 citations

  5. Chinese Academy of Sciences

    Beijing, China

    3 h-index

    9 publications

    124 citations

  6. Waseda University

    Tokyo, Japan

    3 h-index

    9 publications

    104 citations

  7. Delft University of Technology

    Delft, The Netherlands

    3 h-index

    4 publications

    158 citations

  8. Imperial College London

    London, United Kingdom

    3 h-index

    9 publications

    243 citations

1–8 of 151

Venues

  1. arXiv (Cornell University)

    Repository · 12 publications · 628 citations

    10

    h-index

  2. Neural Information Processing Systems

    Conference · 5 publications · 146 citations

    5

    h-index

  3. 4

    h-index

  4. Neural Computation

    4 publications · 407 citations

    4

    h-index

  5. 3

    h-index

1–5