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Top-K ranking: An information-theoretic perspective
Yuxin Chen
, Changho Suh
Electrical and Computer Engineering
Center for Statistics & Machine Learning
Research output
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Chapter in Book/Report/Conference proceeding
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Conference contribution
1
Scopus citations
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Keyphrases
Information Theory
100%
Preference Scores
100%
Separation Measure
100%
Fundamental Limits
50%
Sample Complexity
50%
Relative Rank
50%
K(I)
50%
Constant Gap
50%
Pairwise Comparison
50%
Item-based
50%
Revealed Preference
50%
Latent Preference
50%
Bradley-Terry Model
50%
Information Theoretic Framework
50%
Mathematics
Probability Theory
100%
Identifiability
100%
Paired Comparison
100%
Considered Problem
100%
Computer Science
Fundamental Limit
100%
Paired Comparison
100%
Theoretic Framework
100%
Considered Problem
100%
Economics, Econometrics and Finance
Revealed Preferences
100%