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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

Variational Information Maximization in Gaussian Channels

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Mutual Information Disentangles Interactions from Changing Environments

Oblivious Sketching of High-Degree Polynomial Kernels

Robust Generalization via $\alpha$-Mutual Information

Robust Generalization via f−Mutual Information

Strengthened Information-theoretic Bounds on the Generalization Error

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

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

Neural Tanget Kernel: Convergence and Generalization in Neural Networks

Oblivious Sketching of High-Degree Polynomial Kernels

Mutual Information Disentangles Interactions from Changing Environments

Robust Generalization via $\alpha$-Mutual Information

Subadditivity Beyond Trees and the Chi-Squared Mutual Information

Robust Generalization via f−Mutual Information

Strengthened Information-theoretic Bounds on the Generalization Error

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

Mutual Information for Low-Rank Even-Order Symmetric Tensor Factorization

High-Dimensional Inference on Dense Graphs with Applications to Coding Theory and Machine Learning

Neural Tanget Kernel: Convergence and Generalization in Neural Networks