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Nonparametric Estimation of Renyi Divergence and Friends
12 February 2014
A. Krishnamurthy
Kirthevasan Kandasamy
Barnabás Póczós
Larry A. Wasserman
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Papers citing
"Nonparametric Estimation of Renyi Divergence and Friends"
42 / 42 papers shown
Title
Variational Weighting for Kernel Density Ratios
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DP-Auditorium: a Large Scale Library for Auditing Differential Privacy
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When can Regression-Adjusted Control Variates Help? Rare Events, Sobolev Embedding and Minimax Optimality
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Lexing Ying
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25 May 2023
The Representation Jensen-Shannon Divergence
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Santiago Posso-Murillo
L. S. Giraldo
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25 May 2023
The Fundamental Limits of Structure-Agnostic Functional Estimation
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06 May 2023
Lower Bounds for Rényi Differential Privacy in a Black-Box Setting
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Önder Askin
Martin Dunsche
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09 Dec 2022
Collaborative likelihood-ratio estimation over graphs
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Nicolas Vayatis
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28 May 2022
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence
Carles Domingo-Enrich
Youssef Mroueh
55
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27 May 2022
Plugin Estimation of Smooth Optimal Transport Maps
Tudor Manole
Sivaraman Balakrishnan
Jonathan Niles-Weed
Larry A. Wasserman
OT
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26 Jul 2021
Non-Asymptotic Performance Guarantees for Neural Estimation of
f
\mathsf{f}
f
-Divergences
Sreejith Sreekumar
Zhengxin Zhang
Ziv Goldfeld
FedML
72
18
0
11 Mar 2021
On the consistency of the Kozachenko-Leonenko entropy estimate
Luc Devroye
László Gyorfi
35
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0
25 Feb 2021
(
f
,
Γ
)
(f,Γ)
(
f
,
Γ
)
-Divergences: Interpolating between
f
f
f
-Divergences and Integral Probability Metrics
Jeremiah Birrell
P. Dupuis
Markos A. Katsoulakis
Yannis Pantazis
Luc Rey-Bellet
50
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0
11 Nov 2020
Mutual Information for Explainable Deep Learning of Multiscale Systems
S. Taverniers
E. Hall
Markos A. Katsoulakis
D. Tartakovsky
37
15
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07 Sep 2020
Minimax Optimal Estimation of KL Divergence for Continuous Distributions
Puning Zhao
Lifeng Lai
65
21
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26 Feb 2020
Conditional Shannon, Réyni, and Tsallis entropies estimation and asymptotic limits: discrete case
Ba Amadou Diadie
Lo Gane Samb
13
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16 Feb 2020
Non parametric estimation of residual-past entropy, mean residual-past lifetime, residual-past inaccuracy measure and asymptotic limits
Ba Amadou Diadie
11
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30 Nov 2019
Updating Variational Bayes: Fast sequential posterior inference
Nathaniel Tomasetti
Catherine S. Forbes
Anastasios Panagiotelis
39
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0
01 Aug 2019
From Blackwell Dominance in Large Samples to Renyi Divergences and Back Again
Xiaosheng Mu
L. Pomatto
P. Strack
Omer Tamuz
28
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0
06 Jun 2019
Practical and Consistent Estimation of f-Divergences
Paul Kishan Rubenstein
Olivier Bousquet
Josip Djolonga
C. Riquelme
Ilya O. Tolstikhin
66
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0
27 May 2019
Geometric Estimation of Multivariate Dependency
Salimeh Yasaei Sekeh
Alfred Hero
36
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21 May 2019
Entropies and their Asymptotic Theory in the discrete case
Amadou Diadié Ba
G. Lo
19
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19 Mar 2019
Minimax Estimation of Quadratic Fourier Functionals
Shashank Singh
Bharath K. Sriperumbudur
Barnabás Póczós
106
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30 Mar 2018
Scalable Mutual Information Estimation using Dependence Graphs
M. Noshad
Yu Zeng
Alfred Hero
77
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The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Jiantao Jiao
Weihao Gao
Yanjun Han
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Optimal rates of entropy estimation over Lipschitz balls
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Rate-optimal Meta Learning of Classification Error
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Alfred Hero
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Nonparanormal Information Estimation
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Ensemble Estimation of Generalized Mutual Information with Applications to Genomics
Kevin R. Moon
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45
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Information Theoretic Structure Learning with Confidence
Kevin R. Moon
M. Noshad
Salimeh Yasaei Sekeh
Alfred Hero
43
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13 Sep 2016
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
Shashank Singh
Barnabás Póczós
80
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Efficient Nonparametric Smoothness Estimation
Shashank Singh
S. Du
Barnabás Póczós
72
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Consistency Bands for divergences measures
Amadou Diadié Ba
44
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Demystifying Fixed k-Nearest Neighbor Information Estimators
Weihao Gao
Sewoong Oh
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103
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Exponential Concentration of a Density Functional Estimator
Shashank Singh
Barnabás Póczós
62
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28 Mar 2016
Analysis of k-Nearest Neighbor Distances with Application to Entropy Estimation
Shashank Singh
Barnabás Póczós
66
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28 Mar 2016
A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation
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Jason D. Lee
Michael I. Jordan
150
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Linear-time Learning on Distributions with Approximate Kernel Embeddings
Danica J. Sutherland
Junier B. Oliva
Barnabás Póczós
J. Schneider
61
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24 Sep 2015
Meta learning of bounds on the Bayes classifier error
Kevin R. Moon
V. Delouille
Alfred Hero
69
15
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27 Apr 2015
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
Multivariate f-Divergence Estimation With Confidence
Kevin R. Moon
Alfred Hero
71
71
0
07 Nov 2014
On Estimating
L
2
2
L_2^2
L
2
2
Divergence
A. Krishnamurthy
Kirthevasan Kandasamy
Barnabás Póczós
Larry A. Wasserman
71
7
0
30 Oct 2014
Rate of convergence in the maximum likelihood estimation for partial discrete parameter, with applications to the cluster analysis and philology
E.Ostrovsky
L.Sirota
A.Zeldin
33
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26 Feb 2014
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