math.ST · 2026-10-02 · No. 131

Statistics Theory, 2026-10-02.

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

    Sample complexity bounds for categorical Markov random fields via Discrete Diffusions

    Shivam Kumar, Nabarun Deb

    math.ST · cs.LG · stat.ML

    Many applications in statistics, economics, and physics require sampling from high-dimensional categorical distributions with local dependence structures. Examples include finite memory language models, Ising and Potts systems in statistical physics and protein folding, etc. In modern machine learning, discrete diffusions have emerged as a flexible approach for sampling such data, with strong empirical performance. Motivated by this, we...

    arxiv.org/abs/2610.02128 · PDF

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