Concepedia

Learning Rate Estimation

Learning Rate Estimation is a methodological construct in machine learning that specifies the rate at which a model adapts its parameters during training by quantifying the step size in the direction of gradient descent to optimize convergence and generalization performance.

69

Publications

3.2K

Citations

218

Authors

92

Institutions

Publications per year

2017–2026

33

Parents

Publications

69

Optimal Rates for Regularized Least Squares Regression.

Ingo Steinwart, Don Hush, Clint Scovel · 2009 · 212 citations

, , +13

Battery SOH estimation method based on gradual decreasing current, double correlation analysis and GRU

Chaolong Zhang, Laijin Luo, Yang Zhong et al. · Green Energy and Intelligent Transportation · 2023 · 179 citations · Full text

, , +15

Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Noam Shazeer, Mitchell Stern · arXiv (Cornell University) · 2018 · 163 citations · Full text

, , +14

Learning Curve Models of Construction Productivity

H. Randolph Thomas, Cody T. Mathews, James G. Ward · Journal of Construction Engineering and Management · 1986 · 160 citations

, , +16

Children on the autism spectrum update their behaviour in response to a volatile environment

Catherine Manning, James M. Kilner, Louise Neil et al. · Developmental Science · 2016 · 118 citations · Full text

, , +7

1–5 of 69

Authors

218

  1. IS
    Ingo Steinwart

    Los Alamos National Laboratory, United States

    3 publications · 250 citations

    3

    h-index

  2. DZ
    Ding‐Xuan Zhou

    City University of Hong Kong, Hong Kong SAR China

    3 publications · 187 citations

    3

    h-index

  3. DC
    Di‐Rong Chen

    Beihang University, China

    2 publications · 41 citations

    2

    h-index

  4. RK
    Ryo Karakida

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 70 citations

    2

    h-index

  5. YL
    Yann LeCun

    New York University, United States

    2 publications · 94 citations

    2

    h-index

1–5 of 218

Institutions

92

  1. Athens Information Technology

    Athens, Greece

    2 h-index

    4 publications

    68 citations

  2. Hubei University

    Wuhan, China

    2 h-index

    2 publications

    77 citations

  3. Mayo Clinic

    Rochester, United States

    2 h-index

    9 publications

    147 citations

  4. Inha University

    Incheon, South Korea

    2 h-index

    3 publications

    41 citations

  5. National University of Singapore

    Singapore, Singapore

    2 h-index

    2 publications

    66 citations

  6. Carnegie Mellon University

    Pittsburgh, United States

    2 h-index

    5 publications

    245 citations

  7. Beihang University

    Beijing, China

    2 h-index

    3 publications

    52 citations

  8. International Institute for Applied Systems Analysis

    Laxenburg, Austria

    2 h-index

    3 publications

    243 citations

1–8 of 92

Venues

  1. arXiv (Cornell University)

    Repository · 7 publications · 397 citations

    7

    h-index

  2. Neural Networks

    3 publications · 172 citations

    3

    h-index

  3. PLoS ONE

    3 publications · 113 citations

    3

    h-index

  4. 2

    h-index

  5. Expert Systems with Applications

    2 publications · 69 citations

    2

    h-index

1–5