GAMI000/repro-learning-rate-annealing-improves-tuning-robustness-in-stochastic-optimization-artifacts
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ICML 2026 Reproduction: To Grok Grokking
Reproduction logbook, artifacts, paper, and external cross-check for ICML 2026 paper #17708.
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Reproduction: To Grok Grokking: Provable Grokking in Ridge Regression
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GAMI000/repro-to-grok-grokking-provable-grokking-in-ridge-regression-artifacts
7.66 MB -
To Grok Grokking: Provable Grokking in Ridge Regression
Paper • 2601.19791 • Published -
YMRohit/icml17708-grok-grokking-repro
Updated • 153
ICML 2026 Reproduction: To Grok Grokking
Reproduction logbook, artifacts, paper, and external cross-check for ICML 2026 paper #17708.
- Running
Reproduction: To Grok Grokking: Provable Grokking in Ridge Regression
🎯Collaborate with a coding agent using a shared logbook
-
GAMI000/repro-to-grok-grokking-provable-grokking-in-ridge-regression-artifacts
7.66 MB -
To Grok Grokking: Provable Grokking in Ridge Regression
Paper • 2601.19791 • Published -
YMRohit/icml17708-grok-grokking-repro
Updated • 153
spaces 6
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Reproduction: Learning Rate Annealing Improves Tuning Robustness in Stochastic Optimization
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Explore experiment logs, traces, and workspace online
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Reproduction: Linear Bandits beyond Inner Product Spaces, the case of Bandit Optimal Transport
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Reproduction: Beyond Rational Illusion: Behaviorally Realistic Strategic Classification
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Reproduction: To Grok Grokking: Provable Grokking in Ridge Regression
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Collaborate with a coding agent using a shared logbook
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