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N. Pillai

69 papers hereh-index 304k citations100 works total

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

author position
  • sole author3
  • first author15
  • middle author28
  • last author23

Across the 69 of 69 papers where every author was matched, so the position is known.

fields
  • math.PR21
  • math.ST16
  • stat.ME16
  • stat.CO10
  • stat.AP3
  • cond-mat.soft1
same name
  • N. Pillai — 7 papers, h 5
  • N. Pillai — 4 papers, h 6
  • N. Pillai — 1 paper, h 2
  • N. Pillai — 1 paper, h 0

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
20082026
most citedUniversality of covariance matrices

155 citations · 955 across the 56 of their papers we have counts for

collaborators
Showing 2011 · math.PRShow all

4 papers · 2 filters

math.PR2011★ 57 cited

Edge universality of correlation matrices

Natesh S. Pillai, Jun Yin

Let XM×N​ be a rectangular data matrix with independent real-valued entries [xij​] satisfying Exij​=0 and $\mathbb {…

math.PR2011★ 155 cited

Universality of covariance matrices

Natesh S. Pillai, Jun Yin

In this paper we prove the universality of covariance matrices of the form HN×N​=X†X where X is an M×N rectangular matrix with independent real val…

math.PR2011★ 93 cited

Regularity of laws and ergodicity of hypoelliptic SDEs driven by rough paths

Martin Hairer, Natesh S. Pillai

We consider differential equations driven by rough paths and study the regularity of the laws and their long time behavior. In particular, we focus on the case when the driving noi…

math.PR2011★ 80 cited

Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions

Natesh S. Pillai, Andrew M. Stuart, Alexandre H. Thiéry

The Metropolis-adjusted Langevin (MALA) algorithm is a sampling algorithm which makes local moves by incorporating information about the gradient of the logarithm of the target den…

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