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.