In classic auction theory, reserve prices are known to be effective for improving revenue for
the auctioneer against quasi-linear utility maximizing bidders. The introduction of reserve …

Auto-bidding has become one of the main options for bidding in online advertisements, in
which advertisers only need to specify high-level objectives and leave the complex task of …

In e-commerce advertising, the ad platform usually relies on auction mechanisms to optimize
different performance metrics, such as user experience, advertiser utility, and platform …

For the scalability of industrial online advertising systems, a two-stage auction architecture is
widely used to enable efficient ad allocation on a large set of corpus within a limited …

We study the problem of bidding in uniform price auctions widely used in practice. Although
these auctions are non-truthful for bidders with quasilinear utility functions, several empirical …

A fundamental assumption in classical mechanism design is that buyers are perfect
optimizers. However, in practice, buyers may be limited by their computational capabilities or …

Motivated by the repeated sale of online ads via auctions, optimal pricing in repeated
auctions has attracted a large body of research. While dynamic mechanisms offer powerful …

Online advertising has become a core revenue driver for the internet industry, with ad
auctions playing a crucial role in ensuring platform revenue and advertiser incentives …

We utilize data envelopment analysis to evaluate and compare the pricing efficiency of
keywords in the Google-sponsored search markets, specifically in relation to manual bidding …

First-price auctions have many desirable properties, including uniquely possessing some,
like credibility. However, first-price auctions are also inherently non-truthful, and non …