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researcher

Chao Gao

43 papers hereh-index 252.3k citations60 works total

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

author position
  • sole author3
  • first author26
  • middle author9
  • last author5

Across the 43 of 43 papers where every author was matched, so the position is known.

fields
  • math.ST31
  • stat.ME4
  • stat.ML4
  • cs.LG2
  • astro-ph.CO1
  • math.OC1
same name
  • Chao Gao — 12 papers, h 7
  • Chao Gao — 10 papers, h 2
  • Chao Gao — 7 papers, h 2
  • Chao Gao — 7 papers, h 3
  • Chao Gao — 6 papers, h 8
  • Chao Gao — 6 papers, 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
20132026
most citedRate-optimal graphon estimation

205 citations · 822 across the 39 of their papers we have counts for

collaborators
Showing 2019 · math.STShow all

4 papers · 2 filters

math.ST2019★ 2 cited

Iterative Algorithm for Discrete Structure Recovery

Chao Gao, Anderson Y. Zhang

We propose a general modeling and algorithmic framework for discrete structure recovery that can be applied to a wide range of problems. Under this framework, we are able to study…

math.ST2019

Testing Equivalence of Clustering

Chao Gao, Zongming Ma

In this paper, we test whether two datasets share a common clustering structure. As a leading example, we focus on comparing clustering structures in two independent random samples…

math.ST2019

Minimax rates in sparse, high-dimensional changepoint detection

Haoyang Liu, Chao Gao, Richard J. Samworth

We study the detection of a sparse change in a high-dimensional mean vector as a minimax testing problem. Our first main contribution is to derive the exact minimax testing rate ac…

math.ST2019★ 4 cited

Optimal estimation of variance in nonparametric regression with random design

Yandi Shen, Chao Gao, Daniela Witten +1

Consider the heteroscedastic nonparametric regression model with random design \begin{align*} Y_i = f(X_i) + V^{1/2}(X_i)\varepsilon_i, \quad i=1,2,\ldots,n, \end{align*} with $f(\…

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