Publications associées à A Wasserstein-based measure of conditional dependence

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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

A Wasserstein-based measure of conditional dependence

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Geometrically-Conditioned Point Diffusion Models

The Gray-Wyner Network and Wyner's Common Information for Gaussian Sources

Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

Distributionally Robust Optimization with Polynomial Densities: Theory, Models and Algorithms

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR

Robust Generalization via $\alpha$-Mutual Information

Extremal behaviour of aggregated data with an application to downscaling

Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

Semiparametric Bayesian Risk Estimation for Complex Extremes

Quantifying uncertain system outputs via the multi-level Monte Carlo method --- distribution and robustness measures

The Gray-Wyner Network and Wyner's Common Information for Gaussian Sources

Learning Constrained Distributions of Robot Configurations with Generative Adversarial Network

On quantifying the quality of acoustic models in hybrid DNN-HMM ASR

Robust Generalization via $\alpha$-Mutual Information

Distributionally Robust Optimization with Polynomial Densities: Theory, Models and Algorithms

Geometrically-Conditioned Point Diffusion Models

Active contraction of cardiac cells: a reduced model for sarcomere dynamics with cooperative interactions

Extremal behaviour of aggregated data with an application to downscaling

Semiparametric Bayesian Risk Estimation for Complex Extremes