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researcher

Yiling Chen

67 papers hereh-index 446.9k citations197 works total

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

author position
  • first author26
  • middle author17
  • last author23

Across the 66 of 67 papers where every author was matched, so the position is known.

fields
  • cs.GT47
  • cs.LG6
  • cs.AI4
  • cs.CY3
  • cs.HC2
  • cs.IR2
same name
  • Yiling Chen — 3 papers, h 2
  • Yiling Chen — 1 paper, h 0
  • Yiling Chen — 1 paper, h 1
  • Yiling Chen — 1 paper, h 3
  • Yiling Chen — 1 paper, h 3
  • Yiling Chen — 1 paper, h 2

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
20082026
most citedA Utility Framework for Bounded-Loss Market Makers

136 citations · 515 across the 65 of their papers we have counts for

collaborators
Showing 2023 · cs.GTShow all

4 papers · 2 filters

cs.GT2023★ 3 cited

A Persuasive Approach to Combating Misinformation

Safwan Hossain, Andjela Mladenovic, Yiling Chen +1

Bayesian Persuasion is proposed as a tool for social media platforms to combat the spread of misinformation. Since platforms can use machine learning to predict the popularity and…

cs.GT2023★ 1 cited

Self-Resolving Prediction Markets for Unverifiable Outcomes

Siddarth Srinivasan, Ezra Karger, Yiling Chen

Prediction markets elicit and aggregate beliefs by paying agents based on how close their predictions are to a verifiable future outcome. However, outcomes of many important questi…

cs.GT2023★ 1 cited

Equilibrium of Data Markets with Externality

Safwan Hossain, Yiling Chen

We model real-world data markets, where sellers post fixed prices and buyers are free to purchase from any set of sellers, as a simultaneous game. A key component here is the negat…

cs.GT2023

Persuading a Behavioral Agent: Approximately Best Responding and Learning

Yiling Chen, Tao Lin

The classic Bayesian persuasion model assumes a Bayesian and best-responding receiver. We study a relaxation of the Bayesian persuasion model where the receiver can approximately b…

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