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D. Kempe

48 papers hereh-index 4420.1k citations124 works total

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

author position
  • sole author2
  • first author6
  • middle author17
  • last author21

Across the 46 of 48 papers where every author was matched, so the position is known.

fields
  • cs.GT26
  • cs.DS6
  • cs.LG5
  • cs.SI4
  • cond-mat.dis-nn1
  • cs.CC1
same name
  • D. Kempe — 1 paper, h 11

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
20052026
most citedModularity-Maximizing Network Communities via Mathematical Programming

341 citations · 803 across the 44 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.GT2017★ 9 cited

On the Distortion of Voting with Multiple Representative Candidates

Yu Cheng, Shaddin Dughmi, David Kempe

We study positional voting rules when candidates and voters are embedded in a common metric space, and cardinal preferences are naturally given by distances in the metric space. In…

cs.DS2017★ 7 cited

A General Framework for Robust Interactive Learning

Ehsan Emamjomeh-Zadeh, David Kempe

We propose a general framework for interactively learning models, such as (binary or non-binary) classifiers, orderings/rankings of items, or clusterings of data points. Our framew…

cs.DS2017

Adaptive Hierarchical Clustering Using Ordinal Queries

Ehsan Emamjomeh-Zadeh, David Kempe

In many applications of clustering (for example, ontologies or clusterings of animal or plant species), hierarchical clusterings are more descriptive than a flat clustering. A hier…

cs.GT2017★ 14 cited

Of the People: Voting Is More Effective with Representative Candidates

Yu Cheng, Shaddin Dughmi, David Kempe

In light of the classic impossibility results of Arrow and Gibbard and Satterthwaite regarding voting with ordinal rules, there has been recent interest in characterizing how well…

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