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English(EN) Solving Finite-sum Coupled Compositional Optimization via Multi-block-Single-probe Estimator

新算法解决复杂多层优化问题 · 2篇论文

两篇新研究论文介绍了解决复杂优化问题的新型算法。第一篇论文“通过多块单探针估计器求解有限和耦合组合优化”提出了一种多块单探针方差缩减(MSVR)估计器,以有效地处理具有多个嵌套函数且在每次迭代中只能采样部分块的问题。第二篇论文“随机约束组合优化的无投影多层算法”侧重于具有约束的嵌套优化问题的无投影方法,开发了依赖于线性最小化预言机并为各种目标类型提供复杂度保证的算法。 AI

影响 这些论文介绍了先进的优化技术,可以提高机器学习模型在复杂场景下的效率和适用性。

排序理由 arXiv上发表的两篇学术论文,详细介绍了新的优化算法。

在 arXiv cs.LG 阅读 →

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新算法解决复杂多层优化问题 · 2篇论文

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arXiv上发表的两篇学术论文,详细介绍了新的优化算法。
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Wei Jiang, Sifan Yang, Yibo Wang, Lijun Zhang, Zechao Li ·

    通过多块单探针估计器解决有限和耦合组合优化问题

    arXiv:2609.15723v1 Announce Type: new Abstract: Traditional variance reduction methods (e.g., SPIDER, SARAH, STORM) have been extensively investigated for improving the convergence rates of stochastic optimization. These techniques typically maintain a sequence of estimators for …

  2. arXiv cs.LG TIER_1 English(EN) · Wei Jiang, Sifan Yang, Wenhao Yang, Yibo Wang, Yuanyu Wan, Zechao Li, Lijun Zhang ·

    无投影多层算法用于随机约束组合优化

    arXiv:2609.15679v1 Announce Type: cross Abstract: This paper studies projection-free algorithms for stochastic constrained multi-level compositional optimization. In this context, the objective function is a nested composition of several smooth functions, and the decision set is …