mlsanityData to 14 Oct 2026

A Survey of Online Auction Mechanism Design Using Deep Learning Approaches

arXiv 2110.06880 ↗First posted 11 Oct 2021cs.GT cs.LGcited by 1

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Abstract (arXiv)

Online auction has been very widespread in the recent years. Platform administrators are working hard to refine their auction mechanisms that will generate high profits while maintaining a fair resource allocation. With the advancement of computing technology and the bottleneck in theoretical frameworks, researchers are shifting gears towards online auction designs using deep learning approaches. In this article, we summarized some common deep learning infrastructures adopted in auction mechanism designs and showed how these architectures are evolving. We also discussed how researchers are tackling with the constraints and concerns in the large and dynamic industrial settings. Finally, we pointed out several currently unresolved issues for future directions.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 14 of its 33 references that are in the map. First posted on arXiv 11 Oct 2021.

Builds on

14 of 33 references.

References · 14

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2 more
  1. 2020Auction-based Charging Scheduling with Deep Learning Framework for Multi-Drone Networkscited by 12
  2. 2017Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approachcited by 8

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Citing papers per year: 2024: 1.

1 paper.

  1. 2024Deep Learning Meets Mechanism Design: Key Results and Some Novel Applicationscited by 0