May 25, 2024 · This paper introduces AI-Generated Bidding (AIGB), a novel paradigm for auto-bidding through generative modeling.

Aug 24, 2024 · This paper introduces AI-Generated Bidding (AIGB), a novel paradigm for auto-bidding through generative modeling.

To achieve this goal, we propose a decision-denoising diffusion approach to generate conditional bidding trajectories and at the same time control the generated.

Aug 28, 2024 · The two-dimensional Diffusion Hydrodynamic Model, DHM, is applied to the evaluation of floodplain depths resulting from an overflow of a leveed ...

4 days ago · AIGB uses a generative diffusion model to learn the bidding strategy directly from historical bidding data, without relying on hand-crafted ...

May 30, 2024 · To tackle this issue, this paper introduces AI-Generated Bidding (AIGB), a novel paradigm for auto-bidding through generative modeling. In this ...

合著作者 ; Generative Auto-bidding via Conditional Diffusion Modeling. J Guo, Y Huo, Z Zhang, T Wang, C Yu, J Xu, B Zheng, Y Zhang. Proceedings of the 30th ACM ...

In this paradigm, we propose DiffBid, a conditional diffusion modeling approach for bid generation. DiffBid directly models the correlation between the return ...

Generative Auto-bidding via Conditional Diffusion Modeling. KDD 2024: 5038-5049. [c2]. view. electronic edition via DOI; unpaywalled version; references ...

This paper introduces AI-Generated Bidding (AIGB), a novel paradigm for auto-bidding through generative modeling.