ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.01554
  4. Cited By
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional
  Estimators

Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators

5 June 2016
Shashank Singh
Barnabás Póczós
ArXiv (abs)PDFHTML

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
Behavioral Entropy-Guided Dataset Generation for Offline Reinforcement Learning
Wesley A. Suttle
A. Suresh
Carlos Nieto-Granda
OffRL
148
0
0
06 Feb 2025
Incentives in Private Collaborative Machine Learning
Incentives in Private Collaborative Machine Learning
Rachael Hwee Ling Sim
Yehong Zhang
Nghia Hoang
Xinyi Xu
K. H. Low
Patrick Jaillet
90
5
0
02 Apr 2024
Limit Distribution Theory for Quantum Divergences
Limit Distribution Theory for Quantum Divergences
Sreejith Sreekumar
Mario Berta
63
2
0
22 Nov 2023
A Flexible Approach for Normal Approximation of Geometric and
  Topological Statistics
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
Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks
M. Reh
M. Gärttner
54
8
0
04 Jun 2022
Indirect Active Learning
Indirect Active Learning
Shashank Singh
48
0
0
03 Jun 2022
Farewell to Mutual Information: Variational Distillation for Cross-Modal
  Person Re-Identification
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
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
Mutual Information Gradient Estimation for Representation Learning
Liangjiang Wen
Yiji Zhou
Lirong He
Mingyuan Zhou
Zenglin Xu
DRLSSL
156
27
0
03 May 2020
Minimax Optimal Estimation of KL Divergence for Continuous Distributions
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
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
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
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
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
The Hellinger Correlation
G. Geenens
P. Lafaye De Micheaux
108
32
0
24 Oct 2018
Estimating Information Flow in Deep Neural Networks
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
Minimax Estimation of Quadratic Fourier Functionals
Shashank Singh
Bharath K. Sriperumbudur
Barnabás Póczós
106
5
0
30 Mar 2018
MINE: Mutual Information Neural Estimation
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
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
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
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
134
20
0
24 Feb 2017
Ensemble Estimation of Generalized Mutual Information with Applications
  to Genomics
Ensemble Estimation of Generalized Mutual Information with Applications to Genomics
Kevin R. Moon
K. Sricharan
Alfred Hero
45
9
0
27 Jan 2017
1