18 citations · 71 across the 29 of their papers we have counts for
36 papers
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…
Non-uniform Bid-scaling and Equilibria for Different Auctions: An Empirical Study
Yuan Deng, Jieming Mao, Vahab Mirrokni +2
In recent years, the growing adoption of autobidding has motivated the study of auction design with value-maximizing auto-bidders. It is known that under mild assumptions, uniform…
Efficiency of the Generalized Second-Price Auction for Value Maximizers
Yuan Deng, Mohammad Mahdian, Jieming Mao +3
We study the price of anarchy of the generalized second-price auction where bidders are value maximizers (i.e., autobidders). We show that in general the price of anarchy can be as…
Learning across Data Owners with Joint Differential Privacy
Yangsibo Huang, Haotian Jiang, Daogao Liu +3
In this paper, we study the setting in which data owners train machine learning models collaboratively under a privacy notion called joint differential privacy [Kearns et al., 2018…
Autobidding Auctions in the Presence of User Costs
Yuan Deng, Jieming Mao, Vahab Mirrokni +2
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 so…
Differentially Private Continual Releases of Streaming Frequency Moment Estimations
Alessandro Epasto, Jieming Mao, Andres Munoz Medina +3
The streaming model of computation is a popular approach for working with large-scale data. In this setting, there is a stream of items and the goal is to compute the desired quant…