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Weidong Liu

26 papers hereh-index 224.1k citations46 works total

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

author position
  • sole author2
  • first author10
  • middle author9
  • last author5

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • math.ST10
  • stat.ME9
  • stat.ML5
  • math.PR1
  • stat.CO1
same name
  • Weidong Liu — 5 papers, h 5
  • Weidong Liu — 3 papers, h 9
  • Weidong Liu — 2 papers, h 13
  • Weidong Liu — 2 papers, h 14
  • Weidong Liu — 2 papers, h 0
  • Weidong Liu — 2 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
20092023
most citedQuantile Regression Under Memory Constraint

166 citations · 585 across the 26 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

stat.ML2018★ 28 cited

Distributed Inference for Linear Support Vector Machine

Xiaozhou Wang, Zhuoyi Yang, Xi Chen +1

The growing size of modern data brings many new challenges to existing statistical inference methodologies and theories, and calls for the development of distributed inferential ap…

stat.ML2018★ 47 cited

First-order Newton-type Estimator for Distributed Estimation and Inference

Xi Chen, Weidong Liu, Yichen Zhang

This paper studies distributed estimation and inference for a general statistical problem with a convex loss that could be non-differentiable. For the purpose of efficient computat…

math.ST2018★ 5 cited

Spectral Analysis of High-dimensional Time Series

Mark Fiecas, Chenlei Leng, Weidong Liu +1

A useful approach for analysing multiple time series is via characterising their spectral density matrix as the frequency domain analog of the covariance matrix. When the dimension…

stat.ME2018★ 166 cited

Quantile Regression Under Memory Constraint

Xi Chen, Weidong Liu, Yichen Zhang

This paper studies the inference problem in quantile regression (QR) for a large sample size n but under a limited memory constraint, where the memory can only store a small batc…

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