A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint-Reference-Cited by-同舟云学术

A Sequential Addressing Subsampling Method for Massive Data Analysis Under Memory Constraint

Author:

Pan Rui¹^ORCID,Zhu Yingqiu²^ORCID,Guo Baishan³,Zhu Xuening⁴,Wang Hansheng⁵^ORCID

Affiliation:

1. School of Statistics and Mathematics, Central University of Finance and Economics, Beijing, China

2. School of Statistics, University of International Business and Economics, Beijing, China

3. Meta AI, Menlo Park, CA, USA

4. School of Data Science, Fudan University, Shanghai, China

5. Guanghua School of Management, Peking University, Beijing, China

Funder

National Natural Science Foundation of China

Central University of Finance and Economics

Open Research Fund of the Key Laboratory of Advanced Theory and Application in Statistics and Data Science

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

Reference28 articles.

3. Distributed estimation, information loss and exponential families;liu;Neural Inf Process Syst,2014

4. Communication-efficient algorithms for statistical optimization;zhang;J Mach Learn Res,2013

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