English(EN) Efficient Learning and Symmetry Discovery under Exact Invariances

新算法实现具有群不变性的高效学习

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-10 04:00

研究人员开发了一种新的多项式时间算法，用于学习具有精确群不变性的问题，该算法可应用于有限群和无限群。这一进展为不变和等变方法在几何机器学习中的成功提供了计算解释。此外，该研究还解决了当不变群未知时对称性发现的挑战，证明了在多项式时间内可以识别精确对称性并将其用于回归任务的学习。 AI

影响这项研究可能会加速不变和等变方法在几何机器学习及相关领域的开发和应用。

排序理由该集群包含一篇详细介绍新机器学习算法的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.LG TIER_1 English(EN) · Ashkan Soleymani, Behrooz Tahmasebi, Patrick Jaillet, Stefanie Jegelka · 2026-09-10 04:00

在精确不变性下的高效学习与对称性发现

arXiv:2609.07031v1 Announce Type: new Abstract: Learning with group invariances is central to many scientific and geometric learning problems, yet its computational foundations remain poorly understood. Even for classical supervised regression settings, it has been unclear whethe…