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Machine Unlearning for Gibbs Supervised Learning Algorithms

arXiv:2609.29409v1 Announce Type: new Abstract: In this paper, a method for achieving exact unlearning for Gibbs supervised learning algorithms is proposed using a variational formulation inspired by empirical risk minimization subject to relative entropy regularization (ERM-RER). Such a method con…

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  1. 2026-09-25 04:00 · arXiv stat.ML
    Machine Unlearning for Gibbs Supervised Learning Algorithms

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