NeurIPS 2024 Competition: Auto-Bidding in Large-Scale Auctions
The 2024 NeurIPS Competition, organized by Peking University's PAAI lab and Alibaba‑Mama, challenges teams to build auto‑bidding agents—using generative models for the AIGB Track or handling uncertainty for the General Track—to maximize ad performance in large‑scale auctions, with registration open until August 8 and prize pools up to $6,000 per track.
NeurIPS (Conference on Neural Information Processing Systems) is a top-tier AI and machine learning conference. The 2024 NeurIPS Competition focuses on "Auto-Bidding in Large-Scale Auctions" and is organized by the PAAI lab at Peking University and Alibaba‑Mama.
The competition has two tracks: AIGB Track – learning an auto‑bidding agent with generative models (e.g., Diffusion Models, Transformers); and General Track – auto‑bidding under uncertainty.
Participants must design an auto‑bidding agent that maximizes ad performance in a massive auction environment while handling opponent dynamics and uncertainty.
Schedule: Registration & team formation (now‑to Aug 8), Practice phase (Jul 22 – Aug 8), Official phase (Aug 9 – Oct 24), Review (Nov), Awards (Dec).
Prizes: First place per track: $6,000; Second place per track: $3,000 per team; Third place per track: $1,000 per team.
For details and registration, visit the official competition page or contact [email protected].
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