English(EN) Online Budget Allocation with Censored Semi-Bandit Feedback

新算法解决带审查反馈的在线预算分配问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-06 05:00

研究人员开发了一种用于带审查半老虎机反馈的在线预算分配问题的新算法。该算法基于乐观主义，使用精确最大化预言机，并在收益递减模型下实现了与时间范围呈多对数比例的实例相关界限。对于更一般的非递减曲线，该算法提供了 $\tilde O(K\sqrt{T})$ 的最坏情况遗憾上界，这与下界相匹配，表明在收益递减之外的问题固有的难度。 AI

影响引入了一种新颖的资源分配问题算法方法，可能对机器学习和运筹学等领域产生影响。

排序理由学术论文发表在arXiv上，详细介绍了一种针对特定类型优化问题的新算法。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv stat.ML 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 24 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 学术论文发表在arXiv上，详细介绍了一种针对特定类型优化问题的新算法。[lever_c_demoted from research: ic=1 ai=0.7]
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: paper, other; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

报道来源 [1]

arXiv stat.ML TIER_1 English(EN) · Fran\c{c}ois Bachoc, Nicol\`o Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni · 2026-11-06 05:00

带审查的半赌博者反馈在线预算分配

arXiv:2508.05844v3 Announce Type: replace-cross Abstract: We study a stochastic budget-allocation problem over $K$ tasks. At each round $t$, the learner chooses an allocation $X_t \in \Delta_K$. Task $k$ succeeds with probability $F_k(X_{t,k})$, where $F_1,\dots,F_K$ are nondecre…

本文如何被排名

报道来源 [1]

带审查的半赌博者反馈在线预算分配

相关实体

相关话题