stat.ME · 2026-08-25 · No. 95

Methodology, 2026-08-25.

1 new papers in stat.ME. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 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...

    arxiv.org/abs/2608.23538 · PDF

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