655 citations · 1.4k across the 34 of their papers we have counts for
4 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…
Empirical Risk Minimization with Relative Entropy Regularization: Optimality and Sensitivity Analysis
Samir M. Perlaza, Gaetan Bisson, Iñaki Esnaola +2
The optimality and sensitivity of the empirical risk minimization problem with relative entropy regularization (ERM-RER) are investigated for the case in which the reference is a s…
Machine Learning Methods for Attack Detection in the Smart Grid
Mete Ozay, Inaki Esnaola, Fatos T. Yarman Vural +2
Attack detection problems in the smart grid are posed as statistical learning problems for different attack scenarios in which the measurements are observed in batch or online sett…