Publications associées à Generalization error

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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

Generalization error

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Semantic Perturbations with Normalizing Flows for Improved Generalization

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

Consensus Control for Decentralized Deep Learning

Structure of multicorrelation sequences with integer part polynomial iterates along primes

Subquadratic Overparameterization for Shallow Neural Networks

Robust Generalization via $\alpha$-Mutual Information

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Scaling description of generalization with number of parameters in deep learning

AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

KPC: Learning-Based Model Predictive Control with Deterministic Guarantees

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Structure of multicorrelation sequences with integer part polynomial iterates along primes

Scaling description of generalization with number of parameters in deep learning

Semantic Perturbations with Normalizing Flows for Improved Generalization

Consensus Control for Decentralized Deep Learning

Robust Generalization via $\alpha$-Mutual Information

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization

Subquadratic Overparameterization for Shallow Neural Networks

AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks