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researcher

S. Shekhar

20 papers hereh-index 13487 citations35 works total

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

author position
  • first author15
  • middle author2
  • last author2

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • stat.ML5
  • math.ST4
  • stat.ME3
  • cs.RO1
  • q-bio.PE1
same name
  • S. Shekhar — 18 papers, h 34
  • S. Shekhar — 13 papers, h 60
  • S. Shekhar — 5 papers, h 46
  • S. Shekhar — 4 papers, h 2
  • S. Shekhar — 2 papers, h 9
  • S. Shekhar — 2 papers, 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
20172025
most citedSpecies tree estimation using ASTRAL: how many genes are enough?

38 citations · 70 across the 19 of their papers we have counts for

collaborators
Showing math.STShow all

4 papers · 1 filter

math.ST2023★ 2 cited

On the near-optimality of betting confidence sets for bounded means

Shubhanshu Shekhar, Aaditya Ramdas

Constructing nonasymptotic confidence intervals (CIs) for the mean of a univariate distribution from independent and identically distributed (i.i.d.) observations is a fundamental…

math.ST2023★ 1 cited

Reducing sequential change detection to sequential estimation

Shubhanshu Shekhar, Aaditya Ramdas

We consider the problem of sequential change detection, where the goal is to design a scheme for detecting any changes in a parameter or functional θ of the data stream distribut…

math.ST2023★ 1 cited

Sequential change detection via backward confidence sequences

Shubhanshu Shekhar, Aaditya Ramdas

We present a simple reduction from sequential estimation to sequential changepoint detection (SCD). In short, suppose we are interested in detecting changepoints in some parameter…

math.ST2021★ 1 cited

Nonparametric Two-Sample Testing by Betting

Shubhanshu Shekhar, Aaditya Ramdas

We study the problem of designing consistent sequential two-sample tests in a nonparametric setting. Guided by the principle of testing by betting, we reframe this task into that o…

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