2026
Price of Quality: Sufficient Conditions for Sparse Recovery using Mixed-Quality Data
ICLR 2026poster
We study sparse recovery when observations come from mixed-quality sources: a small collection of high-quality measurements with small noise variance and a larger collection of lower-quality measurements with higher variance. For this heterogeneous-noise setting, we establish sample-size conditions…