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#auto-bidding News & Analysis

2 articles tagged with #auto-bidding. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · May 286/10
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Constrained Auto-Bidding via Generative Response Modeling

Researchers introduce Generative Response Model (GRM), a machine learning approach that optimizes digital advertising bidding by predicting future traffic and cost outcomes rather than making individual bid decisions. The system enforces budget and performance constraints through analytic controllers, demonstrating improved stability and performance over existing auto-bidding methods.

AINeutralarXiv – CS AI · Mar 44/102
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Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search

Researchers developed AIGB-Pearl, a new AI-driven auto-bidding system that combines generative planning with policy optimization to improve advertising performance. The system addresses limitations of existing offline reinforcement learning methods by incorporating a trajectory evaluator and safe exploration mechanisms beyond static datasets.