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Microsoft Research New York City (United States)

82 papers here4.7k citations across 82
fields
  • cs.LG25
  • cs.GT14
  • cs.CY6
  • cs.SI6
  • stat.ML6
  • cs.HC5
  • cs.AI4
  • cs.DS4
ROR 056zprp28OpenAlex

affiliations via OpenAlex

output
20092026
most citedImproving fairness in machine learning systems: What do industry practitioners need?

758 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

  • Alekh Agarwal14 · h 60
  • John Langford14 · h 73
  • Aleksandrs Slivkins9 · h 38
  • Jennifer Wortman Vaughan2 profiles9 · h 43
  • A. Krishnamurthy8 · h 47
  • Miroslav Dudík8 · h 35
  • Amit Sharma5 · h 26
  • Ashton Anderson5 · h 26
  • R. Schapire5 · h 85
  • Solon Barocas5 · h 39
  • Vasilis Syrgkanis5 · h 39
  • Hal Daumé4 · h 65
collaborating institutions
  • Microsoft (United States)US53 papers
  • Cornell UniversityUS15 papers
  • Carnegie Mellon UniversityUS9 papers
  • University of Massachusetts AmherstUS8 papers
  • Princeton UniversityUS7 papers
  • Columbia UniversityUS6 papers
  • Microsoft Research (United Kingdom)GB6 papers
  • University of PennsylvaniaUS6 papers
  • University of Maryland, College ParkUS5 papers
  • University of MichiganUS5 papers
  • Harvard UniversityUS4 papers
  • Stanford UniversityUS4 papers
Showing 2010Show all

1 paper · 1 filter

cs.GT2010

Truthful Mechanisms with Implicit Payment Computation

Moshe Babaioff, Robert D. Kleinberg, Aleksandrs Slivkins

It is widely believed that computing payments needed to induce truthful bidding is somehow harder than simply computing the allocation. We show that the opposite is true: creating…

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