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Unified Theory for Sketching Influence Functions

Unified Theory for Sketching Influence Functions
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πŸ“„Read original on ArXiv AI
#research#influence-functions#random-projection#sketching-theoryrandom-projection-influence-theoryinfluence-functions

⚑ 30-Second TL;DR

What Changed

Preservation under range(F) injectivity

Why It Matters

Enables efficient influence computation in overparameterized models. Provides guarantees beyond JL lemma. Improves data attribution practices.

What To Do Next

Evaluate benchmark claims against your own use cases before adoption.

Who should care:Researchers & Academics

Key Points

  • β€’Preservation under range(F) injectivity
  • β€’Ridge alters effective dimension
  • β€’Decoupled sketches for Kronecker factors
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