Publications associées à Apprentissage PAC

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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

Apprentissage PAC

Landscape and training regimes in deep learning

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

Robust Generalization via $\alpha$-Mutual Information

Efficiently Learning Fourier Sparse Set Functions

Solvent fluctuations and nuclear quantum effects modulate the molecular hyperpolarizability of water

ABC Reinforcement Learning

A Large Margin Algorithm for Forced Alignment

PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification

Graph Chatbot

Chattez avec Graph Search

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

Landscape and training regimes in deep learning

PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification

Efficiently Learning Fourier Sparse Set Functions

ABC Reinforcement Learning

A Large Margin Algorithm for Forced Alignment

Robust Generalization via $\alpha$-Mutual Information

Solvent fluctuations and nuclear quantum effects modulate the molecular hyperpolarizability of water