Density of compressible types and some consequences

We study compressible types in the context of (local and global) NIP. By extending a result in machine learning theory (the existence of a bound on the recursive teaching dimension), we prove density of compressible types. Using this, we obtain explicit uniform honest definitions for NIP formulas (a...

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Bibliographic Details
Main Authors: Bays, M, Kaplan, I, Simon, P
Format: Journal article
Language:English
Published: EMS Press 2024