Author

S. Perlaza

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Preprint Oct 2026

Corrections to ``The Method of Gaps: Exact Expressions for the Generalization Error of Supervised Learning Algorithms''

In this paper, a counterexample to Lemma 5 of the paper referenced in the title is provided. Consequently, the formulation of the method of data-driven gaps presented in the referenced paper relies on an additional assumption, namely, that the conditional distribution of the training dataset given the learned model has...

S. Perlaza · 1 citation

#machine learning Open access Jun 2026

Machine Unlearning for Gibbs Supervised Learning Algorithms

A variational formulation inspired by empirical risk minimization subject to relative entropy regularization (ERM-RER) is proposed using a variational formulation inspired by empirical risk minimization subject to relative entropy regularization to guarantee exact unlearning for Gibbs supervised learning algorithms.

Yaiza Bermudez, S. Perlaza, Iñaki Esnaola · International Symposium on I... · 2 citations