Machine Unlearning for Gibbs Supervised Learning Algorithms

arXiv:2609.29409 · stat.ML, cs.LG · Submitted 2026-09-24 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Generalization — 11× in this paper · explained in 13 episodes
• Machine Unlearning — 8× in this paper · explained in 2 episodes
• Regularization — 8× in this paper · explained in 3 episodes
• International Symposium on Information Theory — 2× in this paper
• Loss Function — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Approximate Unlearning — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Federated Learning — 1× in this paper · explained in 14 episodes
• IEEE Information Theory Workshop — 1× in this paper
• International Conference on Machine Learning — 1× in this paper

Sources

• The Method of Gaps: Exact Expressions for the Generalization Error of Supervised Learning Algorithms

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