1 citations · 1 across the 5 of their papers we have counts for
7 papers
Two-sided Market Design Meets Autobidding
Yang Cai, Christopher Liaw, Aranyak Mehta +2
Autobidding has become a dominant paradigm in online advertising by enabling advertisers to set high-level goals while algorithms handle real-time bid optimization. A prominent exa…
Asymmetric Trading Prophets
Gagan Aggarwal, Anupam Gupta, Yifan Wang +1
The "Trading Prophet" problem challenges an online trader to maximize its profit by buying and selling assets under stochastic prices and capacity constraints, competing against an…
Online Advertising with Spatial Interactions
Gagan Aggarwal, Yifan Wang, Mingfei Zhao
Online advertising platforms must decide how to allocate multiple ads across limited screen real estate, where each ad's effectiveness depends not only on its own placement but als…
Multi-Platform Autobidding with and without Predictions
Gagan Aggarwal, Anupam Gupta, Xizhi Tan +1
We study the problem of finding the optimal bidding strategy for an advertiser in a multi-platform auction setting. The competition on a platform is captured by a value and a cost…
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…
Platform Competition in the Autobidding World
Gagan Aggarwal, Andres Perlroth, Ariel Schvartzman +1
We study the problem of auction design for advertising platforms that face strategic advertisers who are bidding across platforms. Each advertiser's goal is to maximize their total…
No-Regret Algorithms in non-Truthful Auctions with Budget and ROI Constraints
Gagan Aggarwal, Giannis Fikioris, Mingfei Zhao
Advertisers increasingly use automated bidding to optimize their ad campaigns on online advertising platforms. Autobidding optimizes an advertiser's objective subject to various co…