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Yun Yang

21 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
  • first author6
  • middle author4
  • last author10

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • math.ST9
  • stat.ME4
  • cs.LG3
  • stat.ML2
  • cs.CV1
  • cs.DC1
same name
  • Yun Yang — 9 papers, h 8
  • Yun Yang — 5 papers
  • Yun Yang — 5 papers
  • Yun Yang — 5 papers, h 21
  • Yun Yang — 5 papers, h 55
  • Yun Yang — 4 papers

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 citedFrequentist coverage and sup-norm convergence rate in Gaussian process regression

36 citations · 92 across the 17 of their papers we have counts for

collaborators
Showing stat.MEShow all

4 papers · 1 filter

stat.ME2021★ 1 cited

Statistical Inference for Bayesian Risk Minimization via Exponentially Tilted Empirical Likelihood

Rong Tang, Yun Yang

The celebrated Bernstein von-Mises theorem ensures that credible regions from Bayesian posterior are well-calibrated when the model is correctly-specified, in the frequentist sense…

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.…

stat.ME2015

Joint estimation of quantile planes over arbitrary predictor spaces

Yun Yang, Surya Tokdar

In spite of the recent surge of interest in quantile regression, joint estimation of linear quantile planes remains a great challenge in statistics and econometrics. We propose a n…

stat.ME2013★ 13 cited

Bayesian Conditional Tensor Factorizations for High-Dimensional Classification

Yun Yang, David B. Dunson

In many application areas, data are collected on a categorical response and high-dimensional categorical predictors, with the goals being to build a parsimonious model for classifi…

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