Information Theoretical Estimators Toolbox

8 May 2014

Papers citing "Information Theoretical Estimators Toolbox"

24 / 24 papers shown

Title
Information-Theoretic Measures on Lattices for High-Order Interactions Zhaolu Liu Mauricio Barahona Robert L. Peach 144 1 0 13 Mar 2025
Bayesian Adaptive Calibration and Optimal Design Rafael Oliveira Dino Sejdinovic David Howard Edwin Bonilla 236 0 0 20 Jan 2025
Learning Representations for Independence Testing Nathaniel Xu Feng Liu Danica J. Sutherland BDL 103 0 0 10 Sep 2024
Semi-Implicit Variational Inference via Score Matching Longlin Yu Chuxu Zhang 80 17 0 19 Aug 2023
Picking Up Quantization Steps for Compressed Image Classification Li Ma Peixi Peng Guangyao Chen Yifan Zhao Siwei Dong Yonghong Tian 57 3 0 21 Apr 2023
Joint Precoding and Phase Shift Design in Reconfigurable Intelligent Surfaces-Assisted Secret Key Generation Tianyu Lu Liquan Chen Junqing Zhang Chen Chen A. Hu 52 16 0 30 Jul 2022
HyperGI: Automated Detection and Repair of Information Flow Leakage Ibrahim Mesecan Daniel Blackwell David Clark Myra B. Cohen J. Petke 43 17 0 27 Aug 2021
Enabling Inference Privacy with Adaptive Noise Injection Sanjay Kariyappa Ousmane Amadou Dia Moinuddin K. Qureshi 69 5 0 06 Apr 2021
Information Theory in Density Destructors J. E. Johnson Valero Laparra Gustau Camps-Valls Raúl Santos-Rodríguez Jesús Malo 34 8 0 02 Dec 2020
Information Theory Measures via Multidimensional Gaussianization Valero Laparra J. E. Johnson Gustau Camps-Valls Raúl Santos-Rodríguez Jesús Malo 68 11 0 08 Oct 2020
Sequential Transfer Machine Learning in Networks: Measuring the Impact of Data and Neural Net Similarity on Transferability Robin Hirt Akash Srivastava Carlos Berg Niklas Kühl 91 3 0 29 Mar 2020
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram A. Jalali Ahmed T. Elthakeb Dean Tullsen H. Esmaeilzadeh 72 12 0 26 Mar 2020
A Theory of Usable Information Under Computational Constraints Yilun Xu Shengjia Zhao Jiaming Song Russell Stewart Stefano Ermon 100 175 0 25 Feb 2020
Shredder: Learning Noise Distributions to Protect Inference Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram Prakash Ramrakhyani Dean Tullsen H. Esmaeilzadeh 79 11 0 26 May 2019
Learning to compress and search visual data in large-scale systems Sohrab Ferdowsi 38 2 0 24 Jan 2019
Adaptive MCMC via Combining Local Samplers Kiarash Shaloudegi András Gyorgy 98 1 0 11 Jun 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 142 22 0 18 May 2018
Generative Modeling using the Sliced Wasserstein Distance Ishani Deshpande Ziyu Zhang Alex Schwing GAN 65 226 0 29 Mar 2018
MONK -- Outlier-Robust Mean Embedding Estimation by Median-of-Means M. Lerasle Z. Szabó Gaspar Massiot Guillaume Lecué 217 36 0 13 Feb 2018
Estimating Mutual Information for Discrete-Continuous Mixtures Weihao Gao Sreeram Kannan Sewoong Oh Pramod Viswanath 92 159 0 19 Sep 2017
Copula Index for Detecting Dependence and Monotonicity between Stochastic Signals Kiran Karra L. Mili 30 8 0 20 Mar 2017
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators Shashank Singh Barnabás Póczós 85 53 0 05 Jun 2016
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
Efficient Estimation of Mutual Information for Strongly Dependent Variables Shuyang Gao Greg Ver Steeg Aram Galstyan 156 199 0 07 Nov 2014