Interaction Regularization
Interaction Regularization is a computational method designed to constrain or penalize interaction effects in predictive models to enhance interpretability, generalizability, and model stability within the broader class of interaction modeling techniques.
18
Publications
996
Citations
73
Authors
37
Institutions
Publications per year
2017–2026
8
Parents
18
Penalized logistic regression for detecting gene interactions
M. Y. Park, Trevor Hastie · Biostatistics · 2007 · 383 citations · Full text
Discrete Content-aware Matrix Factorization
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Yale University
New Haven, United States
3 h-index
8 publications
158 citations

Xi'an Jiaotong University
Xi'an, China
2 h-index
3 publications
64 citations
Microsoft Research Asia (China)
Beijing, China
2 h-index
3 publications
106 citations

University of Electronic Science and Technology of China
Chengdu, China
2 h-index
5 publications
258 citations
The Coordinating Center
Millersville, United States
2 h-index
3 publications
66 citations
University of Washington
Seattle, United States
2 h-index
3 publications
394 citations

Peking University
Beijing, China
2 h-index
4 publications
104 citations
University of Arizona
Tucson, United States
2 h-index
2 publications
94 citations
1–8 of 37
1 publications · 38 citations
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1 publications · 16 citations
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1 publications · 383 citations
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Conference · 1 publications · 22 citations
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TPAMI · 1 publications · 22 citations
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1–5