High-dimensional Analysis of Synthetic Data Selection

ICLROral2026

Authors
Parham Rezaei, Filip Kovačević, Francesco Locatello, Marco Mondelli
Affiliation
Institute of Science and Technology Austria
Venue
ICLR 2026
Track
Oral

TL;DR

We give a precise analysis for the problem of synthetic data selection through the lens of high-dimensional regression, and we translate the theoretical insights into a method that performs well in practice.

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