Dynamic Budget Throttling in Repeated Second-Price Auctions

@article{Chen2022DynamicBT,
  title={Dynamic Budget Throttling in Repeated Second-Price Auctions},
  author={Zhaohua Chen and Chang Wang and Qian Wang and Yuqi Pan and Z. Shi and Chuyue Tang and Zheng Cai and Yukun Ren and Zhihua Zhu and Xiaotie Deng},
  journal={ArXiv},
  year={2022},
  volume={abs/2207.04690}
}
Throttling is one of the most popular budget control methods in today’s online advertising markets. When a budget-constrained advertiser employs throttling, she can choose whether to participate in an auction or not after the advertising platform recommends a bid. This paper focuses on the dynamic budget throttling process in repeated second-price auctions from a theoretical view. An essential feature of the underlying problem is that the advertiser does not know the distribution of the highest… 

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References

SHOWING 1-10 OF 60 REFERENCES

Throttling Equilibria in Auction Markets

This work investigates the setting in which all of the advertisers simultaneously employ throttling to manage their budgets, and does so for both first-price and second-price auctions, and analyzes the structural and computational properties of the resulting equilibria.

Budget-Constrained Auctions with Unassured Priors

In today’s online advertising markets, it is common for an advertiser to set a long-period budget. Correspondingly, advertising platforms adopt budget control methods to ensure that an advertiser’s

Learning in Repeated Auctions with Budgets: Regret Minimization and Equilibrium

A family of dynamic bidding strategies, referred to as "adaptive pacing" strategies, in which advertisers adjust their bids throughout the campaign according to the sample path of observed expenditures are introduced, which constitute an approximate Nash equilibrium in dynamic strategies.

The Parity Ray Regularizer for Pacing in Auction Markets

Building on recent work, a novel regularizer is introduced to achieve the frequent case in which advertisers seek to reach a certain distribution of impressions over a target population of users, and is integrated into an online mirror descent scheme attaining the optimal order of sub-linear regret.

Budget Management Strategies in Repeated Auctions

The study sheds light on the impact of budget management strategies on the tradeoff between the seller's profit and buyers' utility and empirically compare the system equilibria of these strategies using real ad auction data in sponsored search and randomly generated bids.

Optimal bidding in multi-item multi-slot sponsored search auctions

This paper is the first paper on bidding in sponsored search to incorporate the interdependence between keywords into a multi-period bidding problem and is a significant step forward for the academic literature on bids in multi-slot auctions.

Contextual First-Price Auctions with Budgets

This paper presents a new model to study the equilibrium bidding strategies in first-price auctions for advertisers who satisfy budget constraints on average, and shows the existence of a natural value-pacing-based Bayes-Nash equilibrium under very mild assumptions.

Budget Pacing in Repeated Auctions: Regret and Efficiency without Convergence

We study the aggregate welfare and individual regret guarantees of dynamic pacing algorithms in the context of repeated auctions with budgets. Such algorithms are commonly used as bidding agents in

Pacing Equilibrium in First-Price Auction Markets

This paper uses simulations to demonstrate that while there are incentives to misreport in thin markets (where budgets aren't constraining), a bidder's incentive to deviate vanishes in thick markets.

Repeated Auctions with Budgets in Ad Exchanges: Approximations and Design

It is established that an FMFE approximates well the rational behavior of advertisers in ad exchanges, and how this framework may be used to provide sharp prescriptions for key auction design decisions that publishers face in these markets is shown.
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