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Eric Price

47 papers hereh-index 349.8k citations82 works total

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

author position
  • sole author2
  • first author7
  • middle author17
  • last author21

Across the 47 of 47 papers where every author was matched, so the position is known.

fields
  • cs.DS31
  • cs.LG8
  • cs.IT3
  • stat.ML3
  • cs.CG1
  • cs.NE1
same name
  • Eric Price — 9 papers, h 6
  • Eric Price — 5 papers, h 4
  • Eric Price — 4 papers, h 2
  • Eric Price — 3 papers, h 3
  • Eric Price — 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
20102021
most citedEquality of Opportunity in Supervised Learning

1.9k citations · 2.8k across the 40 of their papers we have counts for

collaborators
Showing 2012 · cs.DSShow all

4 papers · 2 filters

cs.DS2012

New constructions of RIP matrices with fast multiplication and fewer rows

Jelani Nelson, Eric Price, Mary Wootters

In compressed sensing, the "restricted isometry property" (RIP) is a sufficient condition for the efficient reconstruction of a nearly k-sparse vector x in C^d from m linear measur…

cs.DS2012

Improved Concentration Bounds for Count-Sketch

Gregory T. Minton, Eric Price

We present a refined analysis of the classic Count-Sketch streaming heavy hitters algorithm [CCF02]. Count-Sketch uses O(k log n) linear measurements of a vector x in R^n to give a…

cs.DS2012

Lower Bounds for Adaptive Sparse Recovery

Eric Price, David P. Woodruff

We give lower bounds for the problem of stable sparse recovery from /adaptive/ linear measurements. In this problem, one would like to estimate a vector x∈Rn from m linea…

cs.DS2012★ 27 cited

Nearly Optimal Sparse Fourier Transform

Haitham Hassanieh, Piotr Indyk, Dina Katabi +1

We consider the problem of computing the k-sparse approximation to the discrete Fourier transform of an n-dimensional signal. We show: * An O(k log n)-time randomized algorithm for…

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