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English(EN) Affine Tracing: A New Paradigm for Probabilistic Linear Solvers

新框架自动化概率线性求解器创建

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出了一种名为“仿射追踪”的新型框架，旨在自动化概率线性求解器（PLSs）的创建。这种新方法弥合了传统贝叶斯 PLSs 和概率迭代方法（PIMs）之间的差距，证明了贝叶斯方法是仿射 PIMs 的一个特例。仿射追踪框架通过从标准迭代方法自动构建计算图来简化这些求解器的实现，从而能够更有效地量化线性系统解中的不确定性。 AI

影响 自动化概率求解器的构建，可能简化机器学习和科学计算中的不确定性量化。

排序理由 该集群包含一篇详细介绍概率线性求解器新算法框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

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新框架自动化概率线性求解器创建

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该集群包含一篇详细介绍概率线性求解器新算法框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv stat.ML TIER_1 English(EN) · Jon Cockayne ·

    仿射追踪：概率线性求解器的新范式

    Probabilistic linear solvers (PLSs) return probability distributions that quantify uncertainty due to limited computation in the solution of linear systems. The literature has traditionally distinguished between Bayesian PLSs, which condition a prior on information obtained from …

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