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1606.01554
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Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
5 June 2016
Shashank Singh
Barnabás Póczós
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Papers citing
"Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators"
24 / 24 papers shown
Title
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
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Incentives in Private Collaborative Machine Learning
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Yehong Zhang
Nghia Hoang
Xinyi Xu
K. H. Low
Patrick Jaillet
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02 Apr 2024
Limit Distribution Theory for Quantum Divergences
Sreejith Sreekumar
Mario Berta
63
2
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22 Nov 2023
A Flexible Approach for Normal Approximation of Geometric and Topological Statistics
Zhaoyang Shi
Krishnakumar Balasubramanian
W. Polonik
29
0
0
19 Oct 2022
Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks
M. Reh
M. Gärttner
54
8
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04 Jun 2022
Indirect Active Learning
Shashank Singh
48
0
0
03 Jun 2022
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification
Xudong Tian
Zhizhong Zhang
Shaohui Lin
Yanyun Qu
Yuan Xie
Lizhuang Ma
76
114
0
07 Apr 2021
On the consistency of the Kozachenko-Leonenko entropy estimate
Luc Devroye
László Gyorfi
30
4
0
25 Feb 2021
Mutual Information Gradient Estimation for Representation Learning
Liangjiang Wen
Yiji Zhou
Lirong He
Mingyuan Zhou
Zenglin Xu
DRL
SSL
156
27
0
03 May 2020
Minimax Optimal Estimation of KL Divergence for Continuous Distributions
Puning Zhao
Lifeng Lai
65
21
0
26 Feb 2020
On the Estimation of Information Measures of Continuous Distributions
Georg Pichler
Pablo Piantanida
Günther Koliander
68
13
0
07 Feb 2020
Twin Auxiliary Classifiers GAN
Biwei Huang
Yanwu Xu
Chunyuan Li
Kuncai Zhang
Kayhan Batmanghelich
125
33
0
05 Jul 2019
CCMI : Classifier based Conditional Mutual Information Estimation
Sudipto Mukherjee
Himanshu Asnani
Sreeram Kannan
VLM
127
81
0
05 Jun 2019
Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation
Ziv Goldfeld
Kristjan Greenewald
Yury Polyanskiy
Jonathan Niles-Weed
107
68
0
30 May 2019
Estimating Differential Entropy under Gaussian Convolutions
Ziv Goldfeld
Kristjan Greenewald
Yury Polyanskiy
63
11
0
27 Oct 2018
The Hellinger Correlation
G. Geenens
P. Lafaye De Micheaux
108
32
0
24 Oct 2018
Estimating Information Flow in Deep Neural Networks
Ziv Goldfeld
E. Berg
Kristjan Greenewald
Igor Melnyk
Nam H. Nguyen
Brian Kingsbury
Yury Polyanskiy
87
32
0
12 Oct 2018
Minimax Estimation of Quadratic Fourier Functionals
Shashank Singh
Bharath K. Sriperumbudur
Barnabás Póczós
106
5
0
30 Mar 2018
MINE: Mutual Information Neural Estimation
Mohamed Ishmael Belghazi
A. Baratin
Sai Rajeswar
Sherjil Ozair
Yoshua Bengio
Aaron Courville
R. Devon Hjelm
DRL
268
1,287
0
12 Jan 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Jiantao Jiao
Weihao Gao
Yanjun Han
78
47
0
23 Nov 2017
Optimal rates of entropy estimation over Lipschitz balls
Yanjun Han
Jiantao Jiao
Tsachy Weissman
Yihong Wu
114
73
0
06 Nov 2017
Estimating Mutual Information for Discrete-Continuous Mixtures
Weihao Gao
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
92
159
0
19 Sep 2017
Nonparanormal Information Estimation
Shashank Singh
Barnabás Póczós
134
20
0
24 Feb 2017
Ensemble Estimation of Generalized Mutual Information with Applications to Genomics
Kevin R. Moon
K. Sricharan
Alfred Hero
45
9
0
27 Jan 2017
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