A Simpler Parametrization for Modern Optimizers

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TLDR

  • Paper proposes a simpler parametrization approach for modern optimizers; source content unavailable at fetch time.

Key Takeaways

  • No extracted source text is available; takeaways are limited to the title alone.
  • Topic targets optimizer parametrization, relevant to ML training infrastructure and research.
  • Specific claims, methods, and results cannot be confirmed without source access.

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