arxivmath.STmath.PRstat.ML2026-07-10
High-Dimensional Interpolators Can Be Fragile: Heavy Tails and High-Dimensional Large Deviations
High-dimensional interpolation is common in modern machine learning, but its tail risk is less understood than its expected prediction risk. Existing theory shows that interpolating models can perform well in expectation, yet such guarantees do not determine the probability of ra…