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English(EN) Min-Max Optimization Requires Exponentially Many Queries

研究发现 Min-Max 优化需要指数级查询

一篇新的研究论文探讨了非凸非凹函数 min-max 优化的计算复杂性。该研究表明,对于此类函数,找到近似驻点需要指数级的查询次数,尤其是在考虑近似误差和问题维度时。 AI

影响 这一理论发现可能会影响依赖 min-max 优化技术的复杂 AI 模型训练的效率。

排序理由 该集群包含一篇详细介绍优化算法理论发现的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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研究发现 Min-Max 优化需要指数级查询

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该集群包含一篇详细介绍优化算法理论发现的研究论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Alexandros Hollender ·

    Min-Max 优化需要指数级数量的查询

    We study the query complexity of min-max optimization of a nonconvex-nonconcave function $f$ over $[0,1]^d \times [0,1]^d$. We show that, given oracle access to $f$ and to its gradient $\nabla f$, any algorithm that finds an $\varepsilon$-approximate stationary point must make a …