Optimal Explicit and Implicit Regularization Strengths in High-Dimensional Continual Linear Regression
arXiv:2610.20804v1 Announce Type: new Abstract: We study continual linear regression in a high-dimensional regime, where a learner observes a sequence of tasks and updates its parameters sequentially. In this setting, we derive an explicit closed-form expression for the generalization loss of a mod…
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- 2026-10-16 04:00 · arXiv cs.LG
Optimal Explicit and Implicit Regularization Strengths in High-Dimensional Continual Linear Regression