Variance Tradeoff
Variance Tradeoff is a theoretical construct in measurement estimation that characterizes the inverse relationship between the precision of an estimator and its sensitivity to fluctuations in sample data, distinguishing it from other accuracy-related constructs by specifically quantifying the balance between variability and bias in estimation error.
21
Publications
785
Citations
69
Authors
31
Institutions
Publications per year
2017–2026
12
Parents
21
Just in time models for dynamical systems
Anders Stenman, Fredrik Gustafsson, Lennart Ljung · 2002 · 124 citations · Full text
A Modern Take on the Bias-Variance Tradeoff in Neural Networks
Brady Neal, Sarthak Mittal, Aristide Baratin et al. · arXiv (Cornell University) · 2018 · 74 citations · Full text
The Bias-Variance Tradeoff: How Data Science Can Inform Educational Debates
Shayan Doroudi · AERA Open · 2020 · 53 citations · Full text
Education, Data Science, Instruction +17
1–5 of 21
69
University at Buffalo, State University of New York, United States
2 publications · 75 citations
2
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2
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2
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1
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1
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1–5 of 69
31
Tsinghua University
Beijing, China
2 h-index
2 publications
84 citations
Microsoft (United States)
Redmond, United States
2 h-index
6 publications
150 citations
Horizon Robotics (China)
Beijing, China
2 h-index
8 publications
300 citations
University at Buffalo, State University of New York
Buffalo, United States
2 h-index
5 publications
181 citations
NOAA National Marine Fisheries Service
Silver Spring, United States
1 h-index
1 publications
16 citations
Yale University
New Haven, United States
1 h-index
1 publications
35 citations
Yahoo (United States)
Sunnyvale, United States
1 h-index
1 publications
17 citations
Federal Reserve Board of Governors
Washington D.C., United States
1 h-index
3 publications
33 citations
1–8 of 31
Repository · 5 publications · 162 citations
5
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Conference · 2 publications · 46 citations
2
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1 publications · 23 citations
1
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1 publications · 53 citations
1
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1 publications · 38 citations
1
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1–5