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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

Probabilité

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The Cost of Scaling a Reliable Interconnection Topology

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

Normalized Gaussian path integrals

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

Gamma Knife radiosurgery for acromegaly: Evaluating the role of the biological effective dose associated with endocrine remission in a series of 42 consecutive cases

Robust Generalization via $\alpha$-Mutual Information

Institutions and Incentives in Knowledge Production and Diffusion: From Science to Innovation

Least-Squares Padé approximation of parametric and stochastic Helmholtz maps

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions

Statistical Fatigue Investigation and Failure Prediction of a Healable Composite System

Normalized Gaussian path integrals

Gamma Knife radiosurgery for acromegaly: Evaluating the role of the biological effective dose associated with endocrine remission in a series of 42 consecutive cases

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

Robust Generalization via $\alpha$-Mutual Information

Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions

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

Least-Squares Padé approximation of parametric and stochastic Helmholtz maps

The Cost of Scaling a Reliable Interconnection Topology

Institutions and Incentives in Knowledge Production and Diffusion: From Science to Innovation

Statistical Fatigue Investigation and Failure Prediction of a Healable Composite System