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Exponential Concentration of a Density Functional Estimator

Exponential Concentration of a Density Functional Estimator

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

Papers citing "Exponential Concentration of a Density Functional Estimator"

12 / 12 papers shown
Title
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
CCMI : Classifier based Conditional Mutual Information Estimation
CCMI : Classifier based Conditional Mutual Information Estimation
Sudipto Mukherjee
Himanshu Asnani
Sreeram Kannan
VLM
130
81
0
05 Jun 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
51
8
0
01 Oct 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
Scalable Mutual Information Estimation using Dependence Graphs
Scalable Mutual Information Estimation using Dependence Graphs
M. Noshad
Yu Zeng
Alfred Hero
77
73
0
27 Jan 2018
Estimating Mutual Information for Discrete-Continuous Mixtures
Estimating Mutual Information for Discrete-Continuous Mixtures
Weihao Gao
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
92
159
0
19 Sep 2017
Nonparanormal Information Estimation
Nonparanormal Information Estimation
Shashank Singh
Barnabás Póczós
136
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
80
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
72
37
0
28 Mar 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
112
20
0
17 Nov 2014
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