activity
20192024
most citedEfficiency of non-truthful auctions under auto-bidding

4 citations · 9 across the 8 of their papers we have counts for

collaborators

11 papers

cs.GT2024

Randomized Truthful Auctions with Learning Agents

Gagan Aggarwal, Anupam Gupta, Andres Perlroth +1

We study a setting where agents use no-regret learning algorithms to participate in repeated auctions. \citet{kolumbus2022auctions} showed, rather surprisingly, that when bidders p…

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

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…

econ.TH2024

Ads in Conversations

Martino Banchio, Aranyak Mehta, Andres Perlroth

We study the optimal placement of advertisements for interactive platforms like conversational AI assistants. Importantly, conversations add a feature absent in canonical search ma…

cs.GT2023★ 2 cited

Multi-Channel Auction Design in the Autobidding World

Gagan Aggarwal, Andres Perlroth, Junyao Zhao

Over the past few years, more and more Internet advertisers have started using automated bidding for optimizing their advertising campaigns. Such advertisers have an optimization g…

econ.TH2023★ 2 cited

Incentive Compatibility in the Auto-bidding World

Yeganeh Alimohammadi, Aranyak Mehta, Andres Perlroth

Auto-bidding has recently become a popular feature in ad auctions. This feature enables advertisers to simply provide high-level constraints and goals to an automated agent, which…

econ.TH2023

Auctions without commitment in the auto-bidding world

Aranyak Mehta, Andres Perlroth

Advertisers in online ad auctions are increasingly using auto-bidding mechanisms to bid into auctions instead of directly bidding their value manually. One prominent auto-bidding f…

math.PR2022

A Characterization of the n-th Degree Bounded Stochastic Dominance

Bar Light, Andres Perlroth

We provide a novel characterization of the -th degree bounded stochastic dominance (BSD) order, linking it to the risk tolerance of decision-makers and providing a decision-theo…

cs.GT2022★ 4 cited

Efficiency of non-truthful auctions under auto-bidding

Christopher Liaw, Aranyak Mehta, Andres Perlroth

Auto-bidding is now widely adopted as an interface between advertisers and internet advertising as it allows advertisers to specify high-level goals, such as maximizing value subje…

cs.GT2021

Maximizing revenue in the presence of intermediaries

Gagan Aggarwal, Kshipra Bhawalkar, Guru Guruganesh +1

We study the mechanism design problem of selling items to unit-demand buyers with private valuations for the items. A buyer either participates directly in the auction or is re…

math.PR2019

The Family of Alpha,[a,b] Stochastic Orders: Risk vs. Expected Value

Bar Light, Andres Perlroth

In this paper we provide a novel family of stochastic orders that generalizes second order stochastic dominance, which we call the -concave stochastic orders. These stocha…