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researcher

Aaron Smith

18 papers hereh-index 9549 citations21 works total

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

author position
  • middle author8
  • last author10

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • math.PR6
  • stat.CO6
  • stat.ME4
  • math.ST2
same name
  • Aaron Smith — 37 papers, h 7
  • Aaron Smith — 30 papers, h 11
  • Aaron Smith — 28 papers, h 15
  • Aaron Smith — 10 papers, h 1
  • Aaron Smith — 8 papers, h 3
  • Aaron Smith — 6 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
20142026
most citedAccelerating Asymptotically Exact MCMC for Computationally Intensive Models via Local Approximations

82 citations · 204 across the 14 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

stat.CO2026

Fast approximate Bayesian multidimensional scaling with consistency guarantees

Ami Sheth, Aaron Smith, Andrew J. Holbrook

Bayesian multidimensional scaling (BMDS) embeds n objects in a low-dimensional space to approximately preserve an observed dissimilarity matrix. Compared to classic MDS, BMDS is…

math.PR2026

Mixing on k Columns of the Transvection Walk

Natesh Pillai, Aaron Smith

In Diaconis and Saloff-Coste (1996), the authors introduced the simple ``transvection" walk on GLn​(F2​): at each step, choose two distinct rows and add one to t…

math.ST2026

Convergence Rates of Ordering, Testing and Estimation Procedures for Graphons With Fast Boundary Decay Rates

Jeannette Janssen, Na Lin, Aaron Smith

In latent-position random graph models (LPMs), latent vertex positions U1​,…,Un​ are sampled from some distribution on a latent space Ω, then edges of an observed grap…

math.PR2026

Kac's walk on rotation matrices mixes in n2logn steps

Natesh S. Pillai, Aaron Smith

Kac's walk on the rotation group, introduced by Hastings in 1970, is an important high-dimensional Markov chain with applications in statistical physics, statistics, cryptography,…

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