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Generalized Exponential Concentration Inequality for Rényi Divergence
  Estimation

Generalized Exponential Concentration Inequality for Rényi Divergence Estimation

28 March 2016
Shashank Singh
Barnabás Póczós
ArXiv (abs)PDFHTML

Papers citing "Generalized Exponential Concentration Inequality for Rényi Divergence Estimation"

16 / 16 papers shown
Title
Martingale Methods for Sequential Estimation of Convex Functionals and
  Divergences
Martingale Methods for Sequential Estimation of Convex Functionals and Divergences
Tudor Manole
Aaditya Ramdas
73
20
0
16 Mar 2021
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty
  Calibration in Deep Learning
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning
Jize Zhang
B. Kailkhura
T. Y. Han
UQCV
106
227
0
16 Mar 2020
On the Estimation of Information Measures of Continuous Distributions
On the Estimation of Information Measures of Continuous Distributions
Georg Pichler
Pablo Piantanida
Günther Koliander
68
13
0
07 Feb 2020
Practical and Consistent Estimation of f-Divergences
Practical and Consistent Estimation of f-Divergences
Paul Kishan Rubenstein
Olivier Bousquet
Josip Djolonga
C. Riquelme
Ilya O. Tolstikhin
66
45
0
27 May 2019
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
32
8
0
01 Oct 2018
Modeling Psychotherapy Dialogues with Kernelized Hashcode
  Representations: A Nonparametric Information-Theoretic Approach
Modeling Psychotherapy Dialogues with Kernelized Hashcode Representations: A Nonparametric Information-Theoretic Approach
S. Garg
Irina Rish
Guillermo Cecchi
Palash Goyal
Sarik Ghazarian
Shuyang Gao
Greg Ver Steeg
Aram Galstyan
70
0
0
26 Apr 2018
Minimax Estimation of Quadratic Fourier Functionals
Minimax Estimation of Quadratic Fourier Functionals
Shashank Singh
Bharath K. Sriperumbudur
Barnabás Póczós
106
5
0
30 Mar 2018
Kernelized Hashcode Representations for Relation Extraction
Kernelized Hashcode Representations for Relation Extraction
S. Garg
Aram Galstyan
Greg Ver Steeg
Irina Rish
Guillermo Cecchi
Shuyang Gao
45
1
0
10 Nov 2017
Nonparanormal Information Estimation
Nonparanormal Information Estimation
Shashank Singh
Barnabás Póczós
134
20
0
24 Feb 2017
Direct Estimation of Information Divergence Using Nearest Neighbor
  Ratios
Direct Estimation of Information Divergence Using Nearest Neighbor Ratios
M. Noshad
Kevin R. Moon
Salimeh Yasaei Sekeh
Alfred Hero
66
45
0
17 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
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
61
37
0
28 Mar 2016
Multivariate f-Divergence Estimation With Confidence
Multivariate f-Divergence Estimation With Confidence
Kevin R. Moon
Alfred Hero
71
71
0
07 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
135
199
0
07 Nov 2014
Nonparametric Estimation of Renyi Divergence and Friends
Nonparametric Estimation of Renyi Divergence and Friends
A. Krishnamurthy
Kirthevasan Kandasamy
Barnabás Póczós
Larry A. Wasserman
122
92
0
12 Feb 2014
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