Diffusion-completer training with a trajectory aligner makes diffusion-based auto-bidding work at scale, improving conversion value by 29.9% on a sparse public benchmark and by 2.0% in production at Kuaishou.
U-net: Convolutional networks for biomedical image segmentation
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Generative Auto-Bidding in Large-Scale Competitive Auctions via Diffusion Completer-Aligner
Diffusion-completer training with a trajectory aligner makes diffusion-based auto-bidding work at scale, improving conversion value by 29.9% on a sparse public benchmark and by 2.0% in production at Kuaishou.