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News/Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search
arxiv
PublishedSeptember 4, 2026 at 4:00 AM
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Efficiently Estimating Optimal Hyperparameter Scaling Laws through Power-Law Entropy Search

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arXiv:2609.01431v2 Announce Type: replace-cross Abstract: Optimal hyperparameter scaling laws describe how the best hyperparameters for large language model (LLM) training change with model and data scale, enabling practitioners to predict optimal configurations at production scales without expensiv

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