math.ST · 2026-09-05 · No. 106

Statistics Theory, 2026-09-05.

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

    Symmetries and Causality: Causal Effect Identification Beyond IID Data

    Martin Rabel, Jakob Runge

    math.ST · cs.AI

    In the natural sciences, symmetries and cause-effect relationships are ubiquitous. Yet for complex machine-learning tasks, like world-modeling in reinforcement learning, they appear difficult to harness. We propose a formal description of statistical systems based on symmetries in data leaving causal mechanisms invariant. The result is an abstract, simple and general mathematical language for causal reasoning. This paper provides formal...

    arxiv.org/abs/2609.03697 · PDF

This edition is part of The Daily Abstract — math.ST archive. Subscribe to receive these in your inbox each morning, automatically translated to Spanish, with reply-to-PDF: arxivdaily.ignorelist.com.

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