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Leveraging for big data regression. (English) Zbl 07912753


MSC:

62-08 Computational methods for problems pertaining to statistics
Full Text: DOI

References:

[1] SuchardMA, WangQ, ChanC, FrelingerJ, CronA, WestM. Understanding GPU programming for statistical computation: studies in massively parallel massive mixtures. J Comput Graph Stat2010, 19:419-438.
[2] SchatzMC, LangmeadB, SalzbergSL. Cloud computing and theDNA data race. Nat Biotechnol2010, 28:691.
[3] PratasF, TrancosoP, SousaL, StamatakisA, ShiG, KindratenkoV. Fine‐grain parallelism using multi‐core, cell/BE, and GPU systems. Parallel Comput2012, 38:365-390.
[4] EfronB. Bootstrap methods: another look at the jackknife. Ann Stat1979, 7:1-26. · Zbl 0406.62024
[5] WuCFJ. Jackknife, bootstrap and other resampling methods in regression analysis. Ann Stat1986, 14:1261-1295. · Zbl 0618.62072
[6] DrineasP, MahoneyMW, MuthukrishnanS. Sampling algorithms for l_2 regression and applications. In Proceedings of the 17th Annual ACM‐SIAM Symposium on Discrete Algorithms, Miami, Florida, 2006, 1127-1136. · Zbl 1194.62010
[7] DrineasP, MahoneyMW, MuthukrishnanS, SarlósT. Faster least squares approximation. Numer Math2010, 117:219-249. · Zbl 1218.65037
[8] MaP, MahoneyM, YuB. A statistical perspective on algorithmic leveraging. ArXiv e‐prints, June 2013.
[9] MaP, MahoneyM, YuB. A statistical perspective on algorithmic leveraging. In Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014, 91-99.
[10] AvronH, MaymounkovP, ToledoS. Blendenpik: Supercharging LAPACK’s least‐squares solver. SIAM J Sci Comput2010, 32:1217-1236. · Zbl 1213.65069
[11] HansenM, HurwitzW. On the theory of sampling from a finite population. Ann Math Stat1943, 14:333-362. · Zbl 0060.30104
[12] GolubG, Van LoanC. Matrix Computations. Baltimore: Johns Hopkins University Press; 1996. · Zbl 0865.65009
[13] DrineasP, Magdon‐IsmailM, MahoneyMW, WoodruffDP. Fast approximation of matrix coherence and statistical leverage. J Mach Learn Res2012, 13:3475-3506. · Zbl 1437.65030
[14] GittensA, MahoneyMW. Revisiting the Nyström method for improved large‐scale machine learning. Technical Report, Preprint: arXiv:1303.1849, 2013.
[15] Van EssenDC, SmithSM, BarchDM, BehrensTE, YacoubE, UgurbilK. The WU‐Minn Human Connectome Project: an overview. Neuroimage2013, 80:62-79.
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