Publications associées à On the Submodularity of Linear Experimental Design

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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

On the Submodularity of Linear Experimental Design

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

A Functional Perspective on Information Measures

Mutual information in changing environments: Nonlinear interactions, out-of-equilibrium systems, and continuously varying diffusivities

A Comparison of optimal measurement-system design with engineering judgement for bridge load testing

Mutual Information Disentangles Interactions from Changing Environments

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

Robust Generalization via $\alpha$-Mutual Information

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

Strengthened Information-theoretic Bounds on the Generalization Error

Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method

Mutual information in changing environments: Nonlinear interactions, out-of-equilibrium systems, and continuously varying diffusivities

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

A Functional Perspective on Information Measures

A Comparison of optimal measurement-system design with engineering judgement for bridge load testing

Mutual Information Disentangles Interactions from Changing Environments

Robust Generalization via $\alpha$-Mutual Information

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

Mutual Information for the Stochastic Block Model by the Adaptive Interpolation Method

Strengthened Information-theoretic Bounds on the Generalization Error