Publications associées à Impact of Sample Sizes on Information Theoretic Measures for Audio-Visual Signal Processing

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Robust Generalization via $\alpha$-Mutual Information

Michael Christoph Gastpar, Amedeo Roberto Esposito, Ibrahim Issa

The aim of this work is to provide bounds connecting two probability measures of the same event using Rényi

\alpha

-Divergences and Sibson’s

\alpha

-Mutual Information, a generalization of respectively the Kullback-Leibler Divergence and Shannon’s Mutual ...

ETHZ2020

Impact of Sample Sizes on Information Theoretic Measures for Audio-Visual Signal Processing

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MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory

A Comparison of optimal measurement-system design with engineering judgement for bridge load testing

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Experimental assessment of traffic density estimation at link and network level with sparse data

Tests of mutual independence among several random vectors using univariate and multivariate ranks of nearest neighbours

Mutual information for low-rank even-order symmetric tensor estimation

Mutual Information Disentangles Interactions from Changing Environments

Robust Generalization via $\alpha$-Mutual Information

Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

A Comparison of optimal measurement-system design with engineering judgement for bridge load testing

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Mutual information for low-rank even-order symmetric tensor estimation

Experimental assessment of traffic density estimation at link and network level with sparse data

Robust Generalization via $\alpha$-Mutual Information

Tests of mutual independence among several random vectors using univariate and multivariate ranks of nearest neighbours

MATHICSE Technical Report : Density estimation in RKHS with application to Korobov spaces in high dimensions

Mutual Information Disentangles Interactions from Changing Environments