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AI research shows single sample sufficient for ad budget pacing

By PulseAugur Editorial · [1 sources] ·

A new research paper proposes a method for advertisers to optimize their ad spending with significantly fewer historical data samples. The study demonstrates that only a single sample per distribution is sufficient to achieve near-optimal regret in managing ad campaigns, a substantial improvement over previous requirements of T log T samples. This approach enhances robustness to noise in sampling distributions while maximizing advertiser utility under budget constraints. AI

RANK_REASON The cluster contains a single academic paper on arXiv detailing a novel algorithmic approach. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI research shows single sample sufficient for ad budget pacing

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The cluster contains a single academic paper on arXiv detailing a novel algorithmic approach. [lever_c_demoted from research: ic=1 ai=0.7]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Santiago Balseiro, Rachitesh Kumar, Vahab Mirrokni, Balasubramanian Sivan, Di Wang ·

    Robust Budget Pacing with a Single Sample

    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…

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