Learning with Synthetic Data via SGD in High-Dimensional Linear Regression
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arXiv:2609.09572v1 Announce Type: new Abstract: Synthetic data has become a promising way to scale model training beyond limited human-generated data but it may also induce strong model collapse (Dohmatob et al., 2024), where any fixed fraction of synthetic data prevents model performance from impr…
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- 2026-09-10 04:00 · arXiv stat.ML
Learning with Synthetic Data via SGD in High-Dimensional Linear Regression