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researcher

Sifan Liu

13 papers hereh-index 8289 citations21 works total

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

author position
  • sole author2
  • first author7
  • middle author3
  • last author1

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • math.ST4
  • stat.ME4
  • cs.AI1
  • cs.LG1
  • math.NA1
  • math.OC1
same name
  • Sifan Liu — 8 papers, h 5
  • Sifan Liu — 2 papers, h 8
  • Sifan Liu — 2 papers, h 3
  • Sifan Liu — 2 papers, h 2
  • Sifan Liu — 2 papers, h 2
  • Sifan Liu — 2 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
20182023
most citedAsymptotics for Sketching in Least Squares Regression

24 citations · 52 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

math.ST2020

Global and Individualized Community Detection in Inhomogeneous Multilayer Networks

Shuxiao Chen, Sifan Liu, Zongming Ma

In network applications, it has become increasingly common to obtain datasets in the form of multiple networks observed on the same set of subjects, where each network is obtained…

math.ST2020★ 8 cited

How to reduce dimension with PCA and random projections?

Fan Yang, Sifan Liu, Edgar Dobriban +1

In our "big data" age, the size and complexity of data is steadily increasing. Methods for dimension reduction are ever more popular and useful. Two distinct types of dimension red…

math.OC2020★ 1 cited

Optimal Iterative Sketching with the Subsampled Randomized Hadamard Transform

Jonathan Lacotte, Sifan Liu, Edgar Dobriban +1

Random projections or sketching are widely used in many algorithmic and learning contexts. Here we study the performance of iterative Hessian sketch for least-squares problems. By…

stat.ME2020

p-Value as the Strength of Evidence Measured by Confidence Distribution

Sifan Liu, Regina Liu, Min-ge Xie

The notion of p-value is a fundamental concept in statistical inference and has been widely used for reporting outcomes of hypothesis tests. However, p-value is often misinterprete…

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