Concepedia

Exponential Loss

Exponential Loss is a loss function in machine learning that belongs to the class of margin-based loss functions and is distinguished by its exponential sensitivity to misclassification errors, defined as \( \exp(-y f(x)) \), where \( y \) is the true label and \( f(x) \) is the predicted score.

178

Publications

11K

Citations

477

Authors

240

Institutions

Publications per year

2017–2026

66

Parents

Publications

178

Multi-class AdaBoost

Trevor Hastie, Saharon Rosset, Ji Zhu et al. · Statistics and Its Interface · 2009 · 1.9K citations · Full text

, , +14

Generalized Boosted Models: A guide to the gbm package

Greg Ridgeway · 2006 · 769 citations

, , +15

A Comprehensive Survey of Loss Functions in Machine Learning

Qi Wang, Yue Ma, Kun Zhao et al. · Annals of Data Science · 2020 · 693 citations

, , +15

Unequal loss protection: graceful degradation of image quality over packet erasure channels through forward error correction

A.E. Mohr, E.A. Riskin, Richard E. Ladner · IEEE Journal on Selected Areas in Communications · 2000 · 460 citations

, , +17

Point estimation under asymmetric loss functions for left-truncated exponential samples

R. Calabria, Gianpaolo Pulcini · Communication in Statistics- Theory and Methods · 1996 · 290 citations

, , +13

1–5 of 178

Authors

477

  1. QL
    Qianli Liao

    Massachusetts Institute of Technology, United States

    5 publications · 253 citations

    5

    h-index

  2. XW
    Xiaolong Wang

    Harbin Institute of Technology, China

    5 publications · 184 citations

    5

    h-index

  3. SZ
    Shusen Zhou

    Ludong University, China

    5 publications · 184 citations

    5

    h-index

  4. TP
    Tomaso Poggio

    Massachusetts Institute of Technology, United States

    5 publications · 253 citations

    5

    h-index

  5. QC
    Qingcai Chen

    Harbin Institute of Technology, China

    5 publications · 184 citations

    5

    h-index

1–5 of 477

Institutions

240

  1. Harbin Institute of Technology

    Harbin, China

    5 h-index

    13 publications

    523 citations

  2. University of California, Berkeley

    Berkeley, United States

    4 h-index

    4 publications

    244 citations

  3. Harvard University

    Cambridge, United States

    4 h-index

    11 publications

    592 citations

  4. Massachusetts Institute of Technology

    Cambridge, United States

    4 h-index

    13 publications

    690 citations

  5. Princeton University

    Princeton, United States

    3 h-index

    6 publications

    151 citations

  6. Google (United States)

    Mountain View, United States

    3 h-index

    7 publications

    196 citations

  7. University of Michigan

    Ann Arbor, United States

    3 h-index

    3 publications

    2K citations

  8. The Ohio State University

    Columbus, United States

    3 h-index

    5 publications

    77 citations

1–8 of 240

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 687 citations

    14

    h-index

  2. 5

    h-index

  3. Mathematical Problems in Engineering

    MPE · 4 publications · 109 citations

    4

    h-index

  4. Journal of Biological Chemistry

    JBC · 4 publications · 183 citations

    4

    h-index

  5. 3

    h-index

1–5