新框架优化具有可调查询成本的黑盒函数

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-29 14:24

研究人员开发了一个新的框架用于零阶优化，当梯度不可用且目标评估计算成本高昂时使用。该框架考虑了可调的预言机保真度，其中更高的查询精度会增加计算成本。该研究分析了查询精度和成本之间的权衡，以确定最优算法参数，并为实际的保真度和批处理策略提供了建议。 AI

影响提供了一种统一的方法，将收敛保证转化为昂贵模拟的实际保真度和批处理建议。

排序理由这是一篇发表在 arXiv 上的研究论文，详细介绍了一个新的优化框架。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

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arXiv cs.LG TIER_1 English(EN) · Alexandra Suvorikova, Igor Pavlov, Artem Vasin, Georgii Bychkov, Anastasia Antsiferova, Darina Dvinskikh, Alexander Gasnikov · 2026-06-01 04:00

可调预言机保真度的零阶优化的挂钟复杂度

arXiv:2605.31346v1 Announce Type: cross Abstract: Zeroth-order (black-box) optimization is applied when gradients are unavailable and objective evaluations rely on expensive simulations. In many such applications, the oracle fidelity is tunable: higher-accuracy queries reduce noi…
arXiv cs.LG TIER_1 English(EN) · Alexander Gasnikov · 2026-05-29 14:24

可调预言机保真度的零阶优化的挂钟复杂度

Zeroth-order (black-box) optimization is applied when gradients are unavailable and objective evaluations rely on expensive simulations. In many such applications, the oracle fidelity is tunable: higher-accuracy queries reduce noise but incur higher computational costs. To captur…