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researcher

Aaron Roth

University of Pennsylvania

109 papers hereh-index 6124.3k citations197 works total

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

author position
  • sole author1
  • first author5
  • middle author59
  • last author43

Across the 108 of 109 papers where every author was matched, so the position is known.

fields
  • cs.LG47
  • cs.GT26
  • cs.DS23
  • cs.CR4
  • cs.PL2
  • stat.ML2
affiliations
  • University of Pennsylvania
Homepage
same name
  • Aaron Roth — 16 papers, h 8
  • Aaron Roth — 9 papers, h 4
  • Aaron Roth — 7 papers, h 3
  • Aaron Roth — 5 papers, h 3
  • Aaron Roth — 5 papers, h 1
  • Aaron Roth — 4 papers, h 4

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
20092023
most citedPreventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness

381 citations · 2.3k across the 89 of their papers we have counts for

collaborators
Showing 2014 · cs.GTShow all

4 papers · 2 filters

cs.GT2014

Private Pareto Optimal Exchange

Sampath Kannan, Jamie Morgenstern, Ryan Rogers +1

We consider the problem of implementing an individually rational, asymptotically Pareto optimal allocation in a barter-exchange economy where agents are endowed with goods and have…

cs.GT2014

Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy)

Sampath Kannan, Jamie Morgenstern, Aaron Roth +1

We present a mechanism for computing asymptotically stable school optimal matchings, while guaranteeing that it is an asymptotic dominant strategy for every student to report their…

cs.GT2014

Buying Private Data without Verification

Arpita Ghosh, Katrina Ligett, Aaron Roth +1

We consider the problem of designing a survey to aggregate non-verifiable information from a privacy-sensitive population: an analyst wants to compute some aggregate statistic from…

cs.GT2014★ 14 cited

An Anti-Folk Theorem for Large Repeated Games with Imperfect Monitoring

Mallesh M. Pai, Aaron Roth, Jonathan Ullman

We study infinitely repeated games in settings of imperfect monitoring. We first prove a family of theorems that show that when the signals observed by the players satisfy a condit…

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