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researcher

Rocco A. Servedio

22 papers hereh-index 5115 citations28 works total

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

author position
  • middle author8
  • last author13

Across the 21 of 22 papers where every author was matched, so the position is known.

fields
  • cs.CC11
  • cs.DS11
same name
  • Rocco A. Servedio — 2 papers
  • Rocco A. Servedio — 2 papers, h 4
  • Rocco A. Servedio — 2 papers, h 3
  • Rocco A. Servedio — 1 paper, h 2
  • Rocco A. Servedio — 1 paper, h 1

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
20112026
most citedEfficient deterministic approximate counting for low-degree polynomial threshold functions

1 citations · 1 across the 16 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.CC2024

Lower Bounds for Convexity Testing

Xi Chen, Anindya De, Shivam Nadimpalli +2

We consider the problem of testing whether an unknown and arbitrary set S⊆Rn (given as a black-box membership oracle) is convex, versus ε-far from…

cs.CC2024

Relative-error monotonicity testing

Xi Chen, Anindya De, Yizhi Huang +4

The standard model of Boolean function property testing is not well suited for testing sparse functions which have few satisfying assignments, since every such function…

cs.DS2024

Trace reconstruction from local statistical queries

Xi Chen, Anindya De, Chin Ho Lee +1

The goal of trace reconstruction is to reconstruct an unknown n-bit string x given only independent random traces of x, where a random trace of x is obtained by passing x…

cs.DS2024

Testing Sumsets is Hard

Xi Chen, Shivam Nadimpalli, Tim Randolph +2

A subset S of the Boolean hypercube F2n​ is a sumset if S={a+b:a,b∈A} for some A⊆F2n​. Sumsets are central objects of study in add…

cs.CC2024

Detecting Low-Degree Truncation

Anindya De, Huan Li, Shivam Nadimpalli +1

We consider the following basic, and very broad, statistical problem: Given a known high-dimensional distribution D over Rn and a collection of data points in…

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