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Demystifying Fixed k-Nearest Neighbor Information Estimators
v1v2 (latest)

Demystifying Fixed k-Nearest Neighbor Information Estimators

11 April 2016
Weihao Gao
Sewoong Oh
Pramod Viswanath
ArXiv (abs)PDFHTML

Papers citing "Demystifying Fixed k-Nearest Neighbor Information Estimators"

48 / 48 papers shown
Title
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models
Sizai Hou
Songze Li
Baturalp Buyukates
66
0
0
28 May 2025
A Neural Difference-of-Entropies Estimator for Mutual Information
A Neural Difference-of-Entropies Estimator for Mutual Information
Haoran Ni
Martin Lotz
SSLDRL
138
0
0
18 Feb 2025
Contextual Bandits for Unbounded Context Distributions
Contextual Bandits for Unbounded Context Distributions
Puning Zhao
Xiaogang Xu
Zhe Liu
Huiwen Wu
Qin Zhang
Zong Ke
Tianhang Zheng
304
10
0
19 Aug 2024
REMEDI: Corrective Transformations for Improved Neural Entropy
  Estimation
REMEDI: Corrective Transformations for Improved Neural Entropy Estimation
Viktor Nilsson
Anirban Samaddar
Sandeep Madireddy
Pierre Nyquist
54
2
0
08 Feb 2024
No Free Prune: Information-Theoretic Barriers to Pruning at
  Initialization
No Free Prune: Information-Theoretic Barriers to Pruning at Initialization
Tanishq Kumar
Kevin Luo
Mark Sellke
78
3
0
02 Feb 2024
Partial Information Decomposition for Continuous Variables based on
  Shared Exclusions: Analytical Formulation and Estimation
Partial Information Decomposition for Continuous Variables based on Shared Exclusions: Analytical Formulation and Estimation
David A. Ehrlich
Kyle Schick-Poland
Abdullah Makkeh
Felix Lanfermann
Patricia Wollstadt
Michael Wibral
103
9
0
10 Nov 2023
Beyond Normal: On the Evaluation of Mutual Information Estimators
Beyond Normal: On the Evaluation of Mutual Information Estimators
Paweł Czyż
Frederic Grabowski
Julia E. Vogt
N. Beerenwinkel
Alexander Marx
109
35
0
19 Jun 2023
Disentanglement via Latent Quantization
Disentanglement via Latent Quantization
Kyle Hsu
W. Dorrell
James C. R. Whittington
Jiajun Wu
Chelsea Finn
DRL
163
27
0
28 May 2023
Nearest-Neighbor Sampling Based Conditional Independence Testing
Nearest-Neighbor Sampling Based Conditional Independence Testing
Shuai Li
Ziqi Chen
Hong-Tu Zhu
Christina Dan Wang
Wang Wen
29
4
0
09 Apr 2023
Improving Mutual Information based Feature Selection by Boosting Unique
  Relevance
Improving Mutual Information based Feature Selection by Boosting Unique Relevance
Shiyu Liu
Mehul Motani
62
5
0
09 Dec 2022
Pitfalls of Climate Network Construction: A Statistical Perspective
Pitfalls of Climate Network Construction: A Statistical Perspective
Moritz Haas
B. Goswami
U. V. Luxburg
55
4
0
05 Nov 2022
A Reverse Jensen Inequality Result with Application to Mutual
  Information Estimation
A Reverse Jensen Inequality Result with Application to Mutual Information Estimation
Gerhard Wunder
Benedikt Groß
Rick Fritschek
Rafael F. Schaefer
25
10
0
12 Nov 2021
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre
  Optimization
Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization
Qing Guo
Junya Chen
Dong Wang
Yuewei Yang
Xinwei Deng
Lawrence Carin
Fan Li
Jing-Zheng Huang
Chenyang Tao
91
21
0
02 Jul 2021
Statistical tests based on Rényi entropy estimation
Statistical tests based on Rényi entropy estimation
Mehmet Siddik Cadirci
Dafydd Evans
Nikolai N. Leonenko
O. Seleznjev
27
1
0
01 Jun 2021
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial
  Estimation
DICE: Diversity in Deep Ensembles via Conditional Redundancy Adversarial Estimation
Alexandre Ramé
Matthieu Cord
FedML
85
52
0
14 Jan 2021
A Maximal Correlation Approach to Imposing Fairness in Machine Learning
A Maximal Correlation Approach to Imposing Fairness in Machine Learning
Joshua K. Lee
Yuheng Bu
P. Sattigeri
Yikang Shen
G. Wornell
Leonid Karlinsky
Rogerio Feris
FaML
46
17
0
30 Dec 2020
The entropy based goodness of fit tests for generalized von Mises-Fisher
  distributions and beyond
The entropy based goodness of fit tests for generalized von Mises-Fisher distributions and beyond
Nikolai N. Leonenko
Vitalii Makogin
Mehmet Siddik Cadirci
25
0
0
21 Oct 2020
Entropy-based test for generalized Gaussian distributions
Entropy-based test for generalized Gaussian distributions
Mehmet Siddik Cadirci
Dafydd Evans
Nikolai Leonenko
Vitalii Makogin
29
5
0
13 Oct 2020
Parametric Copula-GP model for analyzing multidimensional neuronal and
  behavioral relationships
Parametric Copula-GP model for analyzing multidimensional neuronal and behavioral relationships
N. Kudryashova
Theoklitos Amvrosiadis
Nathalie Dupuy
Nathalie L Rochefort
A. Onken
65
5
0
03 Aug 2020
Neural Estimators for Conditional Mutual Information Using Nearest
  Neighbors Sampling
Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling
Sina Molavipour
Germán Bassi
Mikael Skoglund
53
8
0
12 Jun 2020
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax
  formulation
C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation
A. Mondal
A. Bhattacharya
Sudipto Mukherjee
A. Prathosh
Sreeram Kannan
Himanshu Asnani
79
15
0
17 May 2020
Efficient Distributed Algorithms for the $K$-Nearest Neighbors Problem
Efficient Distributed Algorithms for the KKK-Nearest Neighbors Problem
Reza Fathi
A. R. Molla
Gopal Pandurangan
13
3
0
15 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
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias
  and Variance
Mitigating Class Boundary Label Uncertainty to Reduce Both Model Bias and Variance
Matthew Almeida
Wei Ding
S. Crouter
Ping Chen
33
10
0
23 Feb 2020
Fast Fair Regression via Efficient Approximations of Mutual Information
Fast Fair Regression via Efficient Approximations of Mutual Information
D. Steinberg
Alistair Reid
S. O'Callaghan
Finnian Lattimore
L. McCalman
Tibério S. Caetano
FaML
76
16
0
14 Feb 2020
Conditional Mutual Information Estimation for Mixed Discrete and
  Continuous Variables with Nearest Neighbors
Conditional Mutual Information Estimation for Mixed Discrete and Continuous Variables with Nearest Neighbors
O. Mesner
C. Shalizi
56
5
0
06 Dec 2019
Model-Augmented Estimation of Conditional Mutual Information for Feature
  Selection
Model-Augmented Estimation of Conditional Mutual Information for Feature Selection
Alan Yang
AmirEmad Ghassami
Maxim Raginsky
Negar Kiyavash
E. Rosenbaum
32
1
0
12 Nov 2019
Conditional Mutual Information Neural Estimator
Conditional Mutual Information Neural Estimator
Sina Molavipour
Germán Bassi
Mikael Skoglund
122
14
0
06 Nov 2019
MIM: Mutual Information Machine
MIM: Mutual Information Machine
M. Livne
Kevin Swersky
David J. Fleet
DRL
47
6
0
08 Oct 2019
High Mutual Information in Representation Learning with Symmetric
  Variational Inference
High Mutual Information in Representation Learning with Symmetric Variational Inference
M. Livne
Kevin Swersky
David J. Fleet
SSLDRL
58
0
0
04 Oct 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
Data-Efficient Mutual Information Neural Estimator
Data-Efficient Mutual Information Neural Estimator
Xiaoyu Lin
Indranil Sur
Samuel A. Nastase
Ajay Divakaran
Uri Hasson
Mohamed R. Amer
DRL
71
21
0
08 May 2019
Deep Learning for Channel Coding via Neural Mutual Information
  Estimation
Deep Learning for Channel Coding via Neural Mutual Information Estimation
Rick Fritschek
Rafael F. Schaefer
Gerhard Wunder
85
46
0
07 Mar 2019
Tightening Mutual Information Based Bounds on Generalization Error
Tightening Mutual Information Based Bounds on Generalization Error
Yuheng Bu
Shaofeng Zou
Venugopal V. Veeravalli
82
177
0
15 Jan 2019
Mimic and Classify : A meta-algorithm for Conditional Independence
  Testing
Mimic and Classify : A meta-algorithm for Conditional Independence Testing
Rajat Sen
Karthikeyan Shanmugam
Himanshu Asnani
Arman Rahimzamani
Sreeram Kannan
CMLVLM
83
16
0
25 Jun 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
Potential Conditional Mutual Information: Estimators, Properties and
  Applications
Potential Conditional Mutual Information: Estimators, Properties and Applications
Arman Rahimzamani
Sreeram Kannan
53
11
0
13 Oct 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
Model-Powered Conditional Independence Test
Model-Powered Conditional Independence Test
Rajat Sen
A. Suresh
Karthikeyan Shanmugam
A. Dimakis
Sanjay Shakkottai
VLMCML
62
91
0
18 Sep 2017
Conditional independence testing based on a nearest-neighbor estimator
  of conditional mutual information
Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information
Jakob Runge
164
171
0
05 Sep 2017
Inhomogeneous Hypergraph Clustering with Applications
Inhomogeneous Hypergraph Clustering with Applications
Pan Li
O. Milenkovic
86
161
0
05 Sep 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
Information Theoretic Structure Learning with Confidence
Information Theoretic Structure Learning with Confidence
Kevin R. Moon
M. Noshad
Salimeh Yasaei Sekeh
Alfred Hero
43
18
0
13 Sep 2016
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation
Weihao Gao
Sewoong Oh
Pramod Viswanath
75
33
0
07 Sep 2016
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
72
53
0
05 Jun 2016
Efficient multivariate entropy estimation via $k$-nearest neighbour
  distances
Efficient multivariate entropy estimation via kkk-nearest neighbour distances
Thomas B. Berrett
R. Samworth
M. Yuan
132
126
0
01 Jun 2016
Conditional Dependence via Shannon Capacity: Axioms, Estimators and
  Applications
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications
Weihao Gao
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
71
9
0
10 Feb 2016
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