511 citations · 1.2k across the 54 of their papers we have counts for
3 papers · 1 filter
Generalization Analysis of Machine Learning Algorithms via the Worst-Case Data-Generating Probability Measure
Xinying Zou, Samir M. Perlaza, Iñaki Esnaola +1
In this paper, the worst-case probability measure over the data is introduced as a tool for characterizing the generalization capabilities of machine learning algorithms. More spec…
On the Validation of Gibbs Algorithms: Training Datasets, Test Datasets and their Aggregation
Samir M. Perlaza, Iñaki Esnaola, Gaetan Bisson +1
The dependence on training data of the Gibbs algorithm (GA) is analytically characterized. By adopting the expected empirical risk as the performance metric, the sensitivity of the…
Analysis of the Relative Entropy Asymmetry in the Regularization of Empirical Risk Minimization
Francisco Daunas, Iñaki Esnaola, Samir M. Perlaza +1
The effect of the relative entropy asymmetry is analyzed in the empirical risk minimization with relative entropy regularization (ERM-RER) problem. A novel regularization is introd…