Publications associées à Loi de probabilité

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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

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MATHICSE Technical Report: Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale

Does It Pay to Do Novel Science? The Selectivity Patterns in Science Funding

Stochastic Optimal Control for Autonomous Driving Applications via Polynomial Chaos Expansions

A Statistical Test for Probabilistic Fairness

Direct measurement of key exciton properties: Energy, dynamics, and spatial distribution of the wave function

Improving parametric mass modelling of lensing clusters through a perturbative approach

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

A Variational Inference Approach to Learning Multivariate Wold Processes

Robust Generalization via $\alpha$-Mutual Information

Distributional Robustness in Mechanism Design

A Variational Inference Approach to Learning Multivariate Wold Processes

Distributional Robustness in Mechanism Design

A Statistical Test for Probabilistic Fairness

Direct measurement of key exciton properties: Energy, dynamics, and spatial distribution of the wave function

Does It Pay to Do Novel Science? The Selectivity Patterns in Science Funding

MATHICSE Technical Report: Eigenfunction martingale estimating functions and filtered data for drift estimation of discretely observed multiscale

Stochastic Optimal Control for Autonomous Driving Applications via Polynomial Chaos Expansions

Shrinking Scale Equidistribution for Monochromatic Random Waves on Compact Manifolds

Improving parametric mass modelling of lensing clusters through a perturbative approach

Robust Generalization via $\alpha$-Mutual Information