Publications associées à Distance en variation totale (probabilités)

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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

Distance en variation totale (probabilités)

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

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

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

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

Robust Generalization via f−Mutual Information

Robust Generalization via $\alpha$-Mutual Information

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

Penalization and Bayesian numerical methods for multiscale inverse problems

Distribution-Matching Embedding for Visual Domain Adaptation

Rehabilitation of Count-based Models for Word Vector Representations

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

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

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

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

Distribution-Matching Embedding for Visual Domain Adaptation

Penalization and Bayesian numerical methods for multiscale inverse problems

Rehabilitation of Count-based Models for Word Vector Representations

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

Robust Generalization via f−Mutual Information

Robust Generalization via $\alpha$-Mutual Information