On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation

21 June 2023

Papers citing "On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation"

7 / 7 papers shown

Title
The Generalization Error of Machine Learning Algorithms S. Perlaza Xinying Zou 69 6 0 18 Nov 2024
Asymmetry of the Relative Entropy in the Regularization of Empirical Risk Minimization Francisco Daunas I. Esnaola S. Perlaza H. Vincent Poor 38 2 0 02 Oct 2024
Equivalence of the Empirical Risk Minimization to Regularization on the Family of f-Divergences Francisco Daunas I. Esnaola S. Perlaza H. Vincent Poor 26 3 0 01 Feb 2024
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure Xinying Zou S. Perlaza I. Esnaola Eitan Altman 29 16 0 19 Dec 2023
Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization Francisco Daunas I. Esnaola S. Perlaza H. Vincent Poor 28 15 0 12 Jun 2023
Gibbs-Based Information Criteria and the Over-Parameterized Regime Haobo Chen Yuheng Bu Greg Wornell 34 1 0 08 Jun 2023
Empirical Risk Minimization with Relative Entropy Regularization S. Perlaza Gaetan Bisson I. Esnaola Alain Jean-Marie Stefano Rini 22 20 0 12 Nov 2022