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To Grok Grokking: Provable Grokking in Ridge Regression

Official Honorable MentionLearning theory

Proves delayed generalization in ridge regression. Analysis of gradient descent with weight decay connects the delay to training hyperparameters and examines how tuning can amplify or remove grokking.

Explanation level

Overview

Proves delayed generalization in ridge regression. Analysis of gradient descent with weight decay connects the delay to training hyperparameters and examines how tuning can amplify or remove grokking.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

References

  1. Bibliographic source

ID: icml-2026-grokking-ridge-regression · Last verified:

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