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English(EN) A Unifying Perspective on Probabilities as Model Predictions

arXiv新论文统一概率作为模型预测

作者 PulseAugur 编辑部 · [1 个来源] ·

arXiv上的一篇新论文提出了一个关于概率的统一视角，认为所有概率都是预测方法的输出。这种观点认为，即使是那些被认为是客观的概率，本质上也是模型依赖的。研究表明，当满足有限的校准标准时，可以预测给定策略的效用分布，并指导有限事件集的成功决策。该工作通过建立在预测方法、归纳论证和概率演算的基础上，连接了各种概率解释的直觉。 AI

影响 为理解AI模型的概率输出提供了一个理论框架，可能影响AI系统做出决策和解释不确定性的方式。

排序理由 该集群包含一篇发表在arXiv上的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv stat.ML 阅读 →

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arXiv新论文统一概率作为模型预测

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该集群包含一篇发表在arXiv上的学术论文。[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) · Benedikt H\"oltgen ·

    概率作为模型预测的统一视角

    arXiv:2609.09855v1 Announce Type: new Abstract: Although probabilistic statements are ubiquitous, foundational disagreements persist about their understanding, as exemplified by debates between Bayesians and frequentists; moreover, it is unclear when and why acting on them actual…

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