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Yun Yang

45 papers hereh-index 222.4k citations59 works total

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

author position
  • sole author1
  • first author13
  • middle author8
  • last author22

Across the 44 of 45 papers where every author was matched, so the position is known.

fields
  • math.ST20
  • stat.ML9
  • stat.ME7
  • cs.LG5
  • cs.CV2
  • cs.DC1
same name
  • Yun Yang — 23 papers, h 8
  • Yun Yang — 13 papers, h 6
  • Yun Yang — 8 papers, h 55
  • Yun Yang — 5 papers, h 21
  • Yun Yang — 5 papers, h 2
  • Yun Yang — 5 papers, h 4

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
20132023
most citedMinimax-optimal nonparametric regression in high dimensions

50 citations · 302 across the 44 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

math.ST2019★ 8 cited

Statistical Inference in Mean-Field Variational Bayes

Wei Han, Yun Yang

We conduct non-asymptotic analysis on the mean-field variational inference for approximating posterior distributions in complex Bayesian models that may involve latent variables. W…

math.ST2019★ 2 cited

Gaussian Processes with Errors in Variables: Theory and Computation

Shuang Zhou, Debdeep Pati, Tianying Wang +2

Covariate measurement error in nonparametric regression is a common problem in nutritional epidemiology and geostatistics, and other fields. Over the last two decades, this problem…

stat.ME2019

Model-based Statistical Depth with Applications to Functional Data

Weilong Zhao, Zishen Xu, Yun Yang +1

Statistical depth, a commonly used analytic tool in non-parametric statistics, has been extensively studied for multivariate and functional observations over the past few decades.…

math.ST2019★ 10 cited

Diffusion K-means clustering on manifolds: provable exact recovery via semidefinite relaxations

Xiaohui Chen, Yun Yang

We introduce the {\it diffusion K-means} clustering method on Riemannian submanifolds, which maximizes the within-cluster connectedness based on the diffusion distance. The diffu…

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