Publications associées à F-divergence

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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

F-divergence

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On Speed and Advantage : Results in Information Velocity and Monitoring Problems

A structured prediction approach for robot imitation learning

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

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

Quadrature-free immersed isogeometric analysis

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

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

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

Robust Generalization via f−Mutual Information

Robust Generalization via $\alpha$-Mutual Information

Quadrature-free immersed isogeometric analysis

Robust Generalization via f−Mutual Information

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

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

Robust Generalization via $\alpha$-Mutual Information

On Speed and Advantage : Results in Information Velocity and Monitoring Problems

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

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

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

A structured prediction approach for robot imitation learning