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Efficient multivariate entropy estimation via $k$ -nearest neighbour distances

1 June 2016

Papers citing "Efficient multivariate entropy estimation via $k$-nearest neighbour distances"

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Title
Boosting Reservoir Computing with Brain-inspired Adaptive Dynamics Keshav Srinivasan Dietmar Plenz M. Girvan 110 0 0 16 Apr 2025
InfoBridge: Mutual Information estimation via Bridge Matching Sergei Kholkin Ivan Butakov Evgeny Burnaev Nikita Gushchin Alexander Korotin DiffM FedML 153 0 0 03 Feb 2025
Distribution-free Measures of Association based on Optimal Transport Nabarun Deb Promit Ghosal B. Sen OT 159 1 0 20 Nov 2024
Mutual Information Estimation via Normalizing Flows I. Butakov Alexander Tolmachev S. Malanchuk A. Neopryatnaya Alexey Frolov 93 8 0 04 Mar 2024
Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation Julius Vetter Guy Moss Cornelius Schroder Richard Gao Jakob H. Macke 94 5 0 12 Feb 2024
kNN Algorithm for Conditional Mean and Variance Estimation with Automated Uncertainty Quantification and Variable Selection Marcos Matabuena J. Vidal Oscar Hernan Madrid Padilla J. Onnela 412 5 0 02 Feb 2024
Nearest Neighbor Sampling for Covariate Shift Adaptation Franccois Portier Lionel Truquet Ikko Yamane OffRL 39 1 0 15 Dec 2023
Limit Distribution Theory for Quantum Divergences Sreejith Sreekumar Mario Berta 63 2 0 22 Nov 2023
Distribution-free tests for lossless feature selection in classification and regression László Gyorfi Tamás Linder Harro Walk 66 1 0 08 Nov 2023
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression I. Butakov Alexander Tolmachev S. Malanchuk A. Neopryatnaya Alexey Frolov K. Andreev 110 7 0 13 May 2023
The Fundamental Limits of Structure-Agnostic Functional Estimation Sivaraman Balakrishnan Edward H. Kennedy Larry A. Wasserman 70 11 0 06 May 2023
Entropy of Exchangeable Random Graphs Anda Skeja S. Olhede 75 0 0 03 Feb 2023
A Flexible Approach for Normal Approximation of Geometric and Topological Statistics Zhaoyang Shi Krishnakumar Balasubramanian W. Polonik 29 0 0 19 Oct 2022
Limit theorems of Chatterjee's rank correlation Zhexiao Lin Fang Han 109 24 0 17 Apr 2022
A Differential Entropy Estimator for Training Neural Networks Georg Pichler Pierre Colombo Malik Boudiaf Günther Koliander Pablo Piantanida 163 23 0 14 Feb 2022
High-Order Statistical Functional Expansion and Its Application To Some Nonsmooth Problems Fan Zhou Ping Li Cun-Hui Zhang 38 3 0 31 Dec 2021
On boosting the power of Chatterjee's rank correlation Zhexiao Lin Fang Han 69 43 0 15 Aug 2021
On Azadkia-Chatterjee's conditional dependence coefficient Hongjian Shi Mathias Drton Fang Han 66 33 0 15 Aug 2021
A Bayesian Nonparametric Estimation of Mutual Information L. Al-Labadi Forough Fazeli Asl Z. Saberi 32 1 0 09 Aug 2021
Statistical tests based on Rényi entropy estimation Mehmet Siddik Cadirci Dafydd Evans Nikolai N. Leonenko O. Seleznjev 32 1 0 01 Jun 2021
Transport Dependency: Optimal Transport Based Dependency Measures T. Nies Thomas Staudt Axel Munk OT 92 20 0 05 May 2021
$Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$-Divergences$ Non-Asymptotic Performance Guarantees for Neural Estimation of $\mathsf{f}$ -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 30 4 0 25 Feb 2021
On a Variational Approximation based Empirical Likelihood ABC Method S. Chaudhuri Subhro Ghosh David J. Nott Kim Cuc Pham 103 2 0 12 Nov 2020
The entropy based goodness of fit tests for generalized von Mises-Fisher distributions and beyond Nikolai N. Leonenko Vitalii Makogin Mehmet Siddik Cadirci 30 0 0 21 Oct 2020
Entropy-based test for generalized Gaussian distributions Mehmet Siddik Cadirci Dafydd Evans Nikolai Leonenko Vitalii Makogin 32 5 0 13 Oct 2020
Measuring Association on Topological Spaces Using Kernels and Geometric Graphs Nabarun Deb Promit Ghosal B. Sen 516 50 0 05 Oct 2020
Additive stacking for disaggregate electricity demand forecasting Christian Capezza B. Palumbo Y. Goude S. Wood Matteo Fasiolo AI4TS 85 7 0 20 May 2020
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 Matthew Almeida Wei Ding S. Crouter Ping Chen 36 10 0 23 Feb 2020
A Test for Independence Via Bayesian Nonparametric Estimation of Mutual Information L. Al-Labadi Forough Fazeli Asl Z. Saberi 65 6 0 10 Feb 2020
Minimax Rate Optimal Adaptive Nearest Neighbor Classification and Regression Puning Zhao Lifeng Lai 60 21 0 22 Oct 2019
Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities Ronan Perry Ronak D. Mehta Richard Guo Eva Yezerets Jesús Arroyo Michael A. Powell Hayden Helm Cencheng Shen Joshua T. Vogelstein 37 2 0 30 Jun 2019
Statistical estimation of the Kullback-Leibler divergence A. Bulinski Denis Dimitrov 60 18 0 29 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
Statistical bounds for entropic optimal transport: sample complexity and the central limit theorem Gonzalo E. Mena Jonathan Niles-Weed OT 88 167 0 28 May 2019
Consistent Entropy Estimation for Stationary Time Series Alexander L. Young David B. Dunson 8 0 0 11 Apr 2019
A Bayesian Nonparametric Estimation to Entropy L. Al-Labadi Viskakh Patel Kasra Vakiloroayaei C. Wan 52 8 0 02 Mar 2019
Non-Parametric Inference Adaptive to Intrinsic Dimension Khashayar Khosravi Greg Lewis Vasilis Syrgkanis 485 7 0 11 Jan 2019
Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution Baptiste Broto François Bachoc M. Depecker FAtt 61 52 0 21 Dec 2018
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
Optimal Nonparametric Inference with Two-Scale Distributional Nearest Neighbors Emre Demirkaya Yingying Fan Lan Gao Jinchi Lv Patrick Vossler Jingbo Wang 21 5 0 25 Aug 2018
Statistical Estimation of Conditional Shannon Entropy A. Bulinski A. Kozhevin 48 13 0 23 Apr 2018
Minimax Estimation of Quadratic Fourier Functionals Shashank Singh Bharath K. Sriperumbudur Barnabás Póczós 106 5 0 30 Mar 2018
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal Jiantao Jiao Weihao Gao Yanjun Han 78 47 0 23 Nov 2017
Nonparametric independence testing via mutual information Thomas B. Berrett R. Samworth 111 102 0 17 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

Efficient multivariate entropy estimation via kkk-nearest neighbour distances

Papers citing "Efficient multivariate entropy estimation via $k$-nearest neighbour distances"

Efficient multivariate entropy estimation via $k$ -nearest neighbour distances