math.ST · 2026-07-09 · No. 48

Statistics Theory, 2026-07-09.

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

01 — The papers

1 entries
  1. 01

    Any-Dimensional Learning by Sampling

    Eitan Levin, Venkat Chandrasekaran

    math.ST · cs.LG · math.PR

    Many machine learning models are defined for inputs of different sizes, such as point clouds containing different numbers of points, sequences of tokens of different lengths, and graphs on different numbers of nodes. Such models are trained on finitely-many examples of necessarily limited sizes. How well do these models generalize from inputs of small size to larger inputs of size not seen during training? Furthermore, evaluating such models...

    arxiv.org/abs/2607.07680 · PDF

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