Fused Lasso
Fused Lasso is a regularized regression method that extends the Lasso by imposing sparsity on both the coefficients and their successive differences, thereby encouraging piecewise constant solutions in high-dimensional data.
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2017–2026
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Pathwise coordinate optimization
Jerome H. Friedman, Trevor Hastie, Holger Höfling et al. · The Annals of Applied Statistics · 2007 · 1.9K citations · Full text
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Carnegie Mellon University
Pittsburgh, United States
10 h-index
28 publications
2.4K citations
Stanford University
Stanford, United States
7 h-index
16 publications
14.3K citations
Arizona State University
Tempe, United States
7 h-index
18 publications
2K citations

Peking University
Beijing, China
6 h-index
17 publications
859 citations
University of Michigan
Ann Arbor, United States
6 h-index
9 publications
3.1K citations
University of Washington
Seattle, United States
6 h-index
14 publications
2.2K citations

Shanghai Jiao Tong University
Shanghai, China
5 h-index
9 publications
465 citations
Seoul National University
Seoul, South Korea
5 h-index
13 publications
379 citations
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Repository · 18 publications · 570 citations
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JCGS · 7 publications · 557 citations
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4 publications · 3.8K citations
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Conference · 4 publications · 441 citations
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