Multi-Platform Budget Management in Ad Markets with Non-IC Auctions

Susan, Fransisca; Golrezaei, Negin; Schrijvers, Okke

doi:10.2139/ssrn.4476642

Cited by 2 publications

(1 citation statement)

References 19 publications

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“…For improving the price of anarchy via mechanism design, present additive boosts based on advertisers' values, Balseiro et al (2021a) leverage reserve prices derived from machine-learned predictions, and Liaw et al (2023); Mehta (2022) incorporate randomization into the auction rules. On the bidding side, there is a series of work for online bidding with budget constraints (Balseiro et al, 2021c;Balseiro and Gur, 2019;Balseiro et al, 2023bBalseiro et al, , 2022Gaitonde et al, 2023), with both budget and ROI constraints (Balseiro et al, 2023a;Gao et al, 2023;Golrezaei et al, 2021;, and their variants in the context of multi-channel bidding (Deng et al, 2023a;Susan et al, 2023).…”

Section: Additional Related Workmentioning

confidence: 99%

Towards Efficient Auctions in an Auto-bidding World

Deng

Mao

Mirrokni

et al. 2021

Proceedings of the Web Conference 2021

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We study autobidding ad auctions with user costs, where each bidder is value-maximizing subject to a return-over-investment (ROI) constraint, and the seller aims to maximize the social welfare taking into consideration the user's cost of viewing an ad. We show that in the worst case, the approximation ratio of social welfare by running the vanilla VCG auctions with user costs could as bad as 0. To improve the performance of VCG, We propose a new variant of VCG based on properly chosen cost multipliers, and prove that there exist auctiondependent and bidder-dependent cost multipliers that guarantee approximation ratios of 1/2 and 1/4 respectively in terms of the social welfare.

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Section: Additional Related Workmentioning

confidence: 99%

Towards Efficient Auctions in an Auto-bidding World

Deng

Mao

Mirrokni

et al. 2021

Proceedings of the Web Conference 2021

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Auto-Bidding and Auctions in Online Advertising: A Survey

Aggarwal,

Badanidiyuru,

Balseiro

et al. 2024

SIGecom Exch.

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In this survey, we summarize recent developments in research fueled by the growing adoption of automated bidding strategies in online advertising. We explore the challenges and opportunities that have arisen as markets embrace this autobidding and cover a range of topics in this area, including bidding algorithms, equilibrium analysis and efficiency of common auction formats, and optimal auction design.

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Multi-Platform Budget Management in Ad Markets with Non-IC Auctions

Cited by 2 publications

References 19 publications

Towards Efficient Auctions in an Auto-bidding World

Towards Efficient Auctions in an Auto-bidding World

Auto-Bidding and Auctions in Online Advertising: A Survey

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