AI RESEARCH
JD-BP: A Joint-Decision Generative Framework for Auto-Bidding and Pricing
arXiv CS.LG
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ArXi:2604.05845v1 Announce Type: cross Auto-bidding services optimize real-time bidding strategies for advertisers under key performance indicator (KPI) constraints such as target return on investment and budget. However, uncertainties such as model prediction errors and feedback latency can cause bidding strategies to deviate from ex-post optimality, leading to inefficient allocation. To address this issue, we propose JD-BP, a Joint generative Decision framework for Bidding and Pricing.