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Jieming Mao

8 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author7
  • last author1

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.GT4
  • cs.CC1
  • cs.DS1
  • cs.IT1
  • cs.LG1
ORCID 0000-0001-8416-0172
same name
  • Jieming Mao — 20 papers, h 24

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142023
most citedEfficiency of the First-Price Auction in the Autobidding World

4 citations · 6 across the 8 of their papers we have counts for

collaborators
Showing cs.GTShow all

4 papers · 1 filter

cs.GT2023★ 1 cited

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…

cs.GT2023★ 1 cited

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…

cs.GT2023

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…

cs.GT2022★ 4 cited

Efficiency of the First-Price Auction in the Autobidding World

Yuan Deng, Jieming Mao, Vahab Mirrokni +2

We study the price of anarchy of the first-price auction in the autobidding world, where bidders can be either utility maximizers (i.e., traditional bidders) or value maximizers (i…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.