Huber Loss
Huber Loss is a loss function that combines the properties of mean squared error and mean absolute error by being quadratic for small residuals and linear for large residuals to reduce sensitivity to outliers.
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2017–2026
76
Variants
Huber Loss Function
Parents
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Greedy function approximation: A gradient boosting machine.
Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text
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National Institute of Technology Arunachal Pradesh
Itanagar, India
4 h-index
9 publications
460 citations
Shandong University
Jinan, China
3 h-index
9 publications
376 citations
Princeton University
Princeton, United States
3 h-index
7 publications
657 citations
ETH Zurich
Zurich, Switzerland
3 h-index
3 publications
219 citations

University of Science and Technology Beijing
Beijing, China
3 h-index
8 publications
270 citations
Shandong University of Science and Technology
Qingdao, China
3 h-index
8 publications
208 citations
Technical University of Munich
Munich, Germany
2 h-index
6 publications
586 citations

Chinese Academy of Sciences
Beijing, China
2 h-index
3 publications
97 citations
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Repository · 9 publications · 466 citations
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