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Estimation of Rényi Entropy and Mutual Information Based on
  Generalized Nearest-Neighbor Graphs
v1v2 (latest)

Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs

9 March 2010
D. Pál
Barnabás Póczós
Csaba Szepesvári
ArXiv (abs)PDFHTML

Papers citing "Estimation of Rényi Entropy and Mutual Information Based on Generalized Nearest-Neighbor Graphs"

29 / 29 papers shown
Title
Optimization Hierarchy for Fair Statistical Decision Problems
Optimization Hierarchy for Fair Statistical Decision Problems
A. Aswani
Matt Olfat
65
3
0
18 Oct 2019
Statistical estimation of the Kullback-Leibler divergence
Statistical estimation of the Kullback-Leibler divergence
A. Bulinski
Denis Dimitrov
60
18
0
29 Jun 2019
CCMI : Classifier based Conditional Mutual Information Estimation
CCMI : Classifier based Conditional Mutual Information Estimation
Sudipto Mukherjee
Himanshu Asnani
Sreeram Kannan
VLM
127
81
0
05 Jun 2019
Adaptive Geo-Topological Independence Criterion
Adaptive Geo-Topological Independence Criterion
Baihan Lin
N. Kriegeskorte
64
1
0
06 Oct 2018
Convergence Rates for Empirical Estimation of Binary Classification
  Bounds
Convergence Rates for Empirical Estimation of Binary Classification Bounds
Salimeh Yasaei Sekeh
M. Noshad
Kevin R. Moon
Alfred Hero
40
8
0
01 Oct 2018
Adaptive MCMC via Combining Local Samplers
Adaptive MCMC via Combining Local Samplers
Kiarash Shaloudegi
András Gyorgy
79
1
0
11 Jun 2018
Statistical Estimation of Conditional Shannon Entropy
Statistical Estimation of Conditional Shannon Entropy
A. Bulinski
A. Kozhevin
48
13
0
23 Apr 2018
Quantifying dependencies for sensitivity analysis with multivariate
  input sample data
Quantifying dependencies for sensitivity analysis with multivariate input sample data
A. Eggels
D. Crommelin
59
4
0
06 Feb 2018
Independence clustering (without a matrix)
Independence clustering (without a matrix)
D. Ryabko
83
6
0
20 Mar 2017
Nonparanormal Information Estimation
Nonparanormal Information Estimation
Shashank Singh
Barnabás Póczós
134
20
0
24 Feb 2017
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional
  Estimators
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
Shashank Singh
Barnabás Póczós
80
53
0
05 Jun 2016
Demystifying Fixed k-Nearest Neighbor Information Estimators
Demystifying Fixed k-Nearest Neighbor Information Estimators
Weihao Gao
Sewoong Oh
Pramod Viswanath
103
138
0
11 Apr 2016
Generalized Exponential Concentration Inequality for Rényi Divergence
  Estimation
Generalized Exponential Concentration Inequality for Rényi Divergence Estimation
Shashank Singh
Barnabás Póczós
65
59
0
28 Mar 2016
Analysis of k-Nearest Neighbor Distances with Application to Entropy
  Estimation
Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation
Shashank Singh
Barnabás Póczós
66
37
0
28 Mar 2016
On the Kozachenko-Leonenko entropy estimator
On the Kozachenko-Leonenko entropy estimator
N. Fournier
S. Delattre
MDE
72
54
0
24 Feb 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and
  Applications
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications
Weihao Gao
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
81
9
0
10 Feb 2016
Influence Functions for Machine Learning: Nonparametric Estimators for
  Entropies, Divergences and Mutual Informations
Influence Functions for Machine Learning: Nonparametric Estimators for Entropies, Divergences and Mutual Informations
Kirthevasan Kandasamy
A. Krishnamurthy
Barnabás Póczós
Larry A. Wasserman
J. M. Robins
TDI
106
20
0
17 Nov 2014
Efficient Estimation of Mutual Information for Strongly Dependent
  Variables
Efficient Estimation of Mutual Information for Strongly Dependent Variables
Shuyang Gao
Greg Ver Steeg
Aram Galstyan
139
199
0
07 Nov 2014
Entropic one-class classifiers
Entropic one-class classifiers
L. Livi
Alireza Sadeghian
Witold Pedrycz
80
24
0
28 Jul 2014
An Entropy Search Portfolio for Bayesian Optimization
An Entropy Search Portfolio for Bayesian Optimization
Bobak Shahriari
Ziyun Wang
Matthew W. Hoffman
Alexandre Bouchard-Côté
Nando de Freitas
121
57
0
18 Jun 2014
Functional Bandits
Functional Bandits
Long Tran-Thanh
Jia Yuan Yu
45
8
0
10 May 2014
Nonparametric Estimation of Renyi Divergence and Friends
Nonparametric Estimation of Renyi Divergence and Friends
A. Krishnamurthy
Kirthevasan Kandasamy
Barnabás Póczós
Larry A. Wasserman
134
92
0
12 Feb 2014
A Kernel Test for Three-Variable Interactions
A Kernel Test for Three-Variable Interactions
Dino Sejdinovic
Arthur Gretton
Wicher P. Bergsma
119
41
0
10 Jun 2013
Equitability, mutual information, and the maximal information
  coefficient
Equitability, mutual information, and the maximal information coefficient
J. Kinney
G. Atwal
114
614
0
31 Jan 2013
Measures of Entropy from Data Using Infinitely Divisible Kernels
Measures of Entropy from Data Using Infinitely Divisible Kernels
Luis G. Sanchez Giraldo
M. Rao
José C. Príncipe
107
127
0
11 Nov 2012
Distributed High Dimensional Information Theoretical Image Registration
  via Random Projections
Distributed High Dimensional Information Theoretical Image Registration via Random Projections
Z. Szabó
András Lőrincz
58
2
0
02 Oct 2012
Copula-based Kernel Dependency Measures
Copula-based Kernel Dependency Measures
Barnabás Póczós
Zoubin Ghahramani
J. Schneider
109
87
0
18 Jun 2012
Ensemble estimators for multivariate entropy estimation
Ensemble estimators for multivariate entropy estimation
K. Sricharan
Dennis L. Wei
Alfred Hero
123
84
0
26 Mar 2012
Nonparametric Divergence Estimation with Applications to Machine
  Learning on Distributions
Nonparametric Divergence Estimation with Applications to Machine Learning on Distributions
Barnabás Póczós
L. Xiong
J. Schneider
101
110
0
14 Feb 2012
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