Quantile Loss
Quantile Loss is a type of loss function used in regression analysis that generalizes the absolute error by asymmetrically weighting overestimation and underestimation according to a specified quantile level.
92
Publications
4.5K
Citations
228
Authors
134
Institutions
Publications per year
2017–2026
44
Variants
Check Loss
Parents
92
Estimating conditional quantiles with the help of the pinball loss
Ingo Steinwart, Andreas Christmann · Bernoulli · 2011 · 222 citations · Full text
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134
University of California, Riverside
Riverside, United States
3 h-index
4 publications
399 citations
China Agricultural University
Beijing, China
3 h-index
5 publications
714 citations

Moscow Aviation Institute
Moscow, Russia
3 h-index
3 publications
35 citations
Marmara University
Istanbul, Türkiye
2 h-index
2 publications
235 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
5 publications
223 citations

Renmin University of China
Beijing, China
2 h-index
3 publications
76 citations
North Carolina State University
Raleigh, United States
2 h-index
5 publications
258 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
4 publications
141 citations
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Repository · 7 publications · 154 citations
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3 publications · 103 citations
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OR · 3 publications · 202 citations
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3 publications · 36 citations
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2 publications · 94 citations
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