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English(EN) Optuna Constrained Tree-Structured Parzen Estimator Is a Joint Density Generalization of c-TPE

Optuna c-TPE 泛化为联合密度估计器

作者 PulseAugur 编辑部 · [1 个来源] ·

一篇新论文介绍了 Optuna 约束树状 Parzen 估计器 (c-TPE) 作为标准 c-TPE 算法的联合密度泛化。这种称为联合 c-TPE 的方法利用了目标和约束的单一联合似然，与假设独立的模型相比具有优势。研究强调，与可能因冗余而性能下降的独立 c-TPE 不同，联合 c-TPE 对约束重复是不变的，并讨论了实际的权衡和未来的研究方向。 AI

影响 引入了一种更鲁棒的超参数优化方法，有可能提高训练复杂 AI 模型的效率。

排序理由 该集群包含一篇详细介绍超参数优化新算法模型的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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Optuna c-TPE 泛化为联合密度估计器

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该集群包含一篇详细介绍超参数优化新算法模型的论文。[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) · Shuhei Watanabe, Kaichi Irie ·

    Optuna Constrained Tree-Structured Parzen Estimator 是 c-TPE 的联合密度泛化

    arXiv:2606.09889v1 Announce Type: new Abstract: Constrained hyperparameter optimization (HPO) is common in practice, yet Optuna's widely used constrained TPE lacks algorithmic analysis. While c-TPE proposes an expected constrained improvement (ECI) approach assuming independence …

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