Publications associées à Loi de probabilité à plusieurs variables

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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

Loi de probabilité à plusieurs variables

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

Partition and Code: learning how to compress graphs

Prediction of Self-Assembled Dewetted Nanostructures for Photonics Applications via a Continuum-Mechanics Framework

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

On the density of the supremum of the solution to the linear stochastic heat equation

Robust Generalization via $\alpha$-Mutual Information

Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

On the probability distribution of the local times of diagonally operator-self-similar Gaussian fields with stationary increments

Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

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

Partition and Code: learning how to compress graphs

Prediction of Self-Assembled Dewetted Nanostructures for Photonics Applications via a Continuum-Mechanics Framework

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

On the probability distribution of the local times of diagonally operator-self-similar Gaussian fields with stationary increments

On the density of the supremum of the solution to the linear stochastic heat equation

Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs

Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

Robust Generalization via $\alpha$-Mutual Information

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions