Kullback-leibler Divergence
Kullback-Leibler Divergence is a non-symmetric information-theoretic measure of the difference between two probability distributions, quantifying the expected number of extra bits required to code samples from one distribution when using a coding scheme optimized for another.
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Kl DivergenceKullback-leibler InformationRelative Entropy
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Likelihood Ratio Tests for Model Selection and Non-Nested Hypotheses
Quang Vuong · Econometrica · 1989 · 6K citations
Algorithms for Non-negative Matrix Factorization
Daniel D. Lee, H. Sebastian Seung · 2000 · 5.5K citations
ALGORITHMS FOR NON-NEGATIVE MATRIX FACTORIZATION
D Seung, Lin-Wen Lee · 2001 · 4.8K citations
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Czech Academy of Sciences, Institute of Information Theory and Automation, Czechia
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Centre National de la Recherche Scientifique
Paris, France
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113 publications
6.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
25 h-index
75 publications
5.3K citations
Princeton University
Princeton, United States
21 h-index
46 publications
3.6K citations

Chinese Academy of Sciences
Beijing, China
19 h-index
78 publications
3.7K citations
The University of Tokyo
Tokyo, Japan
19 h-index
56 publications
2.6K citations
Massachusetts Institute of Technology
Cambridge, United States
19 h-index
45 publications
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Australian National University
Canberra, Australia
17 h-index
32 publications
1.7K citations
National University of Singapore
Singapore, Singapore
17 h-index
30 publications
2.5K citations
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