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

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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

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

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Information Spectrum Converse for Minimum Entropy Couplings and Functional Representations

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

A Functional Perspective on Information Measures

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

From Generalisation Error to Transportation-cost Inequalities and Back

Feedback and Common Information: Bounds and Capacity for Gaussian Networks

Is there an analog of Nesterov acceleration for gradient-based MCMC?

Common Information Components Analysis

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Robust Generalization via $\alpha$-Mutual Information

Information Spectrum Converse for Minimum Entropy Couplings and Functional Representations

Lower-bounds on the Bayesian Risk in Estimation Procedures via f–Divergences

From Generalisation Error to Transportation-cost Inequalities and Back

Is there an analog of Nesterov acceleration for gradient-based MCMC?

Common Information Components Analysis

A KL Divergence-Based Loss for In Vivo Ultrafast Ultrasound Image Enhancement with Deep Learning

A Functional Perspective on Information Measures

Robust Generalization via $\alpha$-Mutual Information

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Feedback and Common Information: Bounds and Capacity for Gaussian Networks