Gradient Noise
Gradient Noise is a stochastic perturbation inherent in the estimated gradient during gradient-based optimization, arising from the use of noisy or approximate gradient calculations, which distinguishes it from deterministic gradient errors by its random nature and typically zero-mean distribution.
149
Publications
7.9K
Citations
460
Authors
185
Institutions
Publications per year
2017–2026
94
Parents
149
A Stochastic Quasi-Newton Method for Large-Scale Optimization
Richard H. Byrd, Samantha Hansen, Jorge Nocedal et al. · SIAM Journal on Optimization · 2016 · 452 citations
Adding Gradient Noise Improves Learning for Very Deep Networks
Arvind Neelakantan, Luke Vilnis, Quoc V. Le et al. · arXiv (Cornell University) · 2015 · 267 citations · Full text
1–5 of 149
460
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Rutgers Sexual and Reproductive Health and Rights, Netherlands
6 publications · 188 citations
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6
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5
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Laboratoire Traitement et Communication de l’Information, France
5 publications · 177 citations
5
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1–5 of 460
185
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
8 h-index
14 publications
352 citations
University of California, Los Angeles
Los Angeles, United States
7 h-index
11 publications
1.6K citations

Johns Hopkins University
Baltimore, United States
4 h-index
7 publications
202 citations
Massachusetts Institute of Technology
Cambridge, United States
4 h-index
7 publications
205 citations
University of California, Berkeley
Berkeley, United States
4 h-index
9 publications
510 citations
California Institute of Technology
Pasadena, United States
4 h-index
5 publications
448 citations
Northwestern University
Evanston, United States
4 h-index
7 publications
1.5K citations
Princeton University
Princeton, United States
4 h-index
6 publications
191 citations
1–8 of 185
Repository · 41 publications · 2.4K citations
24
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MRM · 6 publications · 481 citations
6
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6 publications · 1K citations
6
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5 publications · 542 citations
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4 publications · 244 citations
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