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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

Théorie des probabilités

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Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage

Learning in Volatile Environments With the Bayes Factor Surprise

COVID-19: data-driven dynamic asset allocation in times of pandemic

Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations

Tighter thermodynamic bound on the speed limit in systems with unidirectional transitions

Normalized Gaussian path integrals

Robust Generalization via $\alpha$-Mutual Information

Tighter thermodynamic bound on the speed limit in systems with unidirectional transitions

Normalized Gaussian path integrals

Probabilistic and Bayesian methods for uncertainty quantification of deterministic and stochastic differential equations

Robust Generalization via $\alpha$-Mutual Information

A General Framework for Optimal Data-Driven Optimization

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

Learning in Volatile Environments With the Bayes Factor Surprise

COVID-19: data-driven dynamic asset allocation in times of pandemic

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Generalization Error Bounds Via Rényi-, f-Divergences and Maximal Leakage