most citedAuto-bidding and Auctions in Online Advertising: A Survey

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cs.GT2026

Chaos in Autobidding Auctions

Ioannis Anagnostides, Ian Gemp, Georgios Piliouras +1

As autobidding systems increasingly dominate online advertising auctions, characterizing their long-term dynamical behavior is brought to the fore. In this paper, we examine the dy…

cs.GT2026

Tight Inapproximability for Welfare-Maximizing Autobidding Equilibria

Ioannis Anagnostides, Ian Gemp, Georgios Piliouras +1

We examine the complexity of computing welfare- and revenue-maximizing equilibria in autobidding second-price auctions subject to return-on-spend (RoS) constraints. We show that co…

cs.GT2026

On the Complexity of Learning Nash Equilibria

Oliver Biggar, Christos Papadimitriou, Georgios Piliouras

We know that the Nash equilibria of a game cannot be computed efficiently unless . But can they be learned? Are there dynamics that (1) can be computed efficiently by the…

cs.GT2024

Charting the Shapes of Stories with Game Theory

Constantinos Daskalakis, Ian Gemp, Yanchen Jiang +3

Stories are records of our experiences and their analysis reveals insights into the nature of being human. Successful analyses are often interdisciplinary, leveraging mathematical…

cs.GT2024

Swim till You Sink: Computing the Limit of a Game

Rashida Hakim, Jason Milionis, Christos Papadimitriou +1

During 2023, two interesting results were proven about the limit behavior of game dynamics: First, it was shown that there is a game for which no dynamics converges to the Nash equ…

cs.GT2024★ 1 cited

Auto-bidding and Auctions in Online Advertising: A Survey

Gagan Aggarwal, Ashwinkumar Badanidiyuru, Santiago R. Balseiro +23

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 opp…

cs.GT2024

Complex Dynamics in Autobidding Systems

Renato Paes Leme, Georgios Piliouras, Jon Schneider +2

It has become the default in markets such as ad auctions for participants to bid in an auction through automated bidding agents (autobidders) which adjust bids over time to satisfy…