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Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Weihao Gao
, Sewoong Oh
,
Pramod Viswanath
Coordinated Science Lab
Industrial and Enterprise Systems Engineering
Siebel School of Computing and Data Science
Electrical and Computer Engineering
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peer-review
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Keyphrases
Nearest Neighbor
100%
Mutual Information
100%
Entropy Information
100%
Entropy Estimation
100%
Performance Improvement
50%
Non-vanishing
50%
Fast Rates
50%
State-of-the-art Techniques
50%
Kernel-based
50%
K-nearest
50%
Data Dependency
50%
Neighbor Distance
50%
Order Statistics
50%
Neighbor-based
50%
Underlying Distribution
50%
Data Science
50%
Asymptotic Geometry
50%
Downstream Applications
50%
Local Bandwidth
50%
Asymptotic Bias
50%
Nearest Neighbor Estimator
50%
Information-theoretic Measures
50%
Dependent Choice
50%
Bandwidth Choice
50%
Boundary Bias
50%
Mathematics
Nearest Neighbor
100%
Mutual Information
50%
Asymptotics
25%
Order Statistics
25%
Underlying Distribution
25%
Dependent Data
25%
Asymptotic Bias
25%