stat.ME · 2026-08-25 · No. 95
Methodology, 2026-08-25.
1 new papers in stat.ME. Titles, authors,
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01 — The papers
1 entries-
01
Interpretable AI with Local Distillation
Erin Craig, Yiling Huang, Snigdha Panigrahi
stat.ME · cs.LG · stat.ML
Modern AI models such as tabular foundation models and gradient-boosted ensembles can outpredict classical methods, but provide little basis for reasoning about their predictions. High-stakes decisions call for models that are both accurate and interpretable as built. Local linear modeling offers a path forward: a smooth regression function is locally well approximated by a linear one, allowing a linear fit near each query point to achieve...
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