English(EN) Robust Budget Pacing with a Single Sample

AI研究表明单个样本足以进行广告预算节奏控制

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

一篇新研究论文提出了一种方法，使广告商能够使用显著更少历史数据样本来优化其广告支出。该研究表明，每个分布仅需一个样本即可在管理广告系列时实现接近最优的遗憾值，与之前需要 T log T 个样本相比有了显著改进。该方法在预算限制下，提高了对采样分布中噪声的稳健性，同时最大化了广告商的效用。 AI

排序理由该集群包含一篇在 arXiv 上的学术论文，详细介绍了一种新颖的算法方法。[lever_c_demoted from research: ic=1 ai=0.7]

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arXiv cs.LG TIER_1 English(EN) · Santiago Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang · 2026-10-02 04:00

单样本的稳健预算预测

arXiv:2302.02006v2 Announce Type: replace Abstract: Major Internet advertising platforms offer budget pacing tools as a standard service for advertisers to manage their ad campaigns. Given the inherent non-stationarity in an advertiser's value and also competing advertisers' valu…