Tag: unlearning
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Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach
Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach arXiv:2510.13094v1 Announce Type: new Abstract: Machine unlearning seeks to efficiently remove the influence of selected data while preserving generalization. Significant progress has been made in low dimensions $(p ll n)$, but high dimensions pose serious theoretical challenges as standard optimization assumptions of $Omega(1)$ strong convexity…
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Mo’ Memory, Mo’ Problems: Stream-Native Machine Unlearning
Mo’ Memory, Mo’ Problems: Stream-Native Machine Unlearning arXiv:2508.10193v1 Announce Type: new Abstract: Machine unlearning work assumes a static, i.i.d training environment that doesn’t truly exist. Modern ML pipelines need to learn, unlearn, and predict continuously on production streams of data. We translate the notion of the batch unlearning scenario to the online setting using notions…