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Rodrigo Schuller

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#machine learning Preprint Oct 2026

Dataset Pruning from First Principles: A Label-Free Linear Programming Approach

Dataset pruning reduces a large training set to a representative subset while preserving model performance. Existing geometry-based methods typically assume that nearby points in embedding space share similar properties. Rather than imposing this assumption, we derive geometric selection criteria by reformulating unbia...

Rodrigo Schuller, Francisco Ganacim · 0 citations