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Local uncertainty sampling for large-scale multiclass logistic regression

The Annals of Statistics(2020)10.1214/19-aos1867Source: DataRank Database

Local uncertainty sampling for large-scale multiclass logistic regression is a research paper published in The Annals of Statistics (2020). On theSindex it has a DataRank of 0. It has been cited 31 times.

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Open Access31 citations

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Enrichment:Funding (4 grants)OA: bronzeTopics (21)IDs (PubMed)

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Authors (4)

Kean Ming Tan ORCID,Ting Yang ORCID,Tong Zhang ORCID,Lei Han ORCID

Live enrichment

PubMed:30945415

National Science Foundation

Grant: 1250985

BIGDATA: Small: DA: Statistical Machine Learning Methods for Scalable Data Analysis

National Science Foundation

Grant: 1811315

Statistical Machine Learning Methods for Complex Data Sets

National Science Foundation

Grant: 1407939

RI: Medium: Collaborative Research: Next-Generation Statistical Optimization Methods for Big Data Computing

National Institutes of Health

Grant: 5R01AI116744-03

Genome Based Influenza Vaccine Strain Selection using Machine Learning

bronzeLicense: arXiv Non-Exclusive Distribution

publisherhttps://projecteuclid.org/journals/annals-of-statistics/volume-48/issue-3/Local-uncertainty-sampling-for-large-scale-multiclass-logistic-regression/10.1214/19-AOS1867.pdf

publisherhttps://projecteuclid.org/download/pdfview_1/euclid.aos/1594972838

https://doi.org/10.1214/19-aos1867

http://arxiv.org/pdf/1604.08098

https://dx.doi.org/10.48550/arxiv.1604.08098

Fields of Study

01 natural sciences0101 mathematics

Keywords

FOS: Computer and information sciencesGeneralized linear models (logistic models)Computer Science - Machine Learningbinary and multiclass logistic regressionlocal uncertainty samplingPoint estimationMachine Learning (stat.ML)Large-scaleMulticlass logistic regressionStatistics - ComputationMachine Learning (cs.LG)Statistics - Machine LearningSampling theory, sample surveyslocal case control sampling62D05Sampling62F1262F10Computation (stat.CO)