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Zohar KarninamazonEmail yang diverifikasi di amazon.com
Steven W ZuckerYale UniversityEmail yang diverifikasi di yale.edu
Vladimir RokhlinProfessor of Computer Science and Mathematics, Yale UniversityEmail yang diverifikasi di cs.yale.edu
Justin ThalerGeorgetown UniversityEmail yang diverifikasi di georgetown.edu
Yosi KellerFaculty of Engineering, Bar Ilan UniversityEmail yang diverifikasi di biu.ac.il
Ronald Coifmanprofessor of mathematics yale universityEmail yang diverifikasi di math.yale.edu
Oren SomekhTechnology Innovation InstituteEmail yang diverifikasi di tii.ae
Mauro MaggioniBloomberg Distinguished Professor of Mathematics, and Applied Mathematics and StatisticsEmail yang diverifikasi di jhu.edu
Liran KatzirGoogle ResearchEmail yang diverifikasi di cs.technion.ac.il
Per-Gunnar MartinssonProfessor of Mathematics, University of Texas at AustinEmail yang diverifikasi di ices.utexas.edu
Mina GhashamiApplied Scientist, AmazonEmail yang diverifikasi di amazon.com
Jeff PhillipsProfessor, School of Computing, University of UtahEmail yang diverifikasi di cs.utah.edu
Christos BoutsidisEmail yang diverifikasi di gs.com
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityEmail yang diverifikasi di cs.cmu.edu
Shachar LovettFull Professor of Computer Science, University of California San DiegoEmail yang diverifikasi di eng.ucsd.edu
Yehuda KorenGoogleEmail yang diverifikasi di google.com
David WajcAssistant Professor, Technion — Israel Institute of TechnologyEmail yang diverifikasi di technion.ac.il
Dan GarberAssociate Professor at Technion - Israel Institute of TechnologyEmail yang diverifikasi di technion.ac.il
Roy SchwartzComputer Science Department, TechnionEmail yang diverifikasi di cs.technion.ac.il
Anke van ZuylenCornell UniversityEmail yang diverifikasi di cornell.edu

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Machine Learning Systems Streaming Algorithms Numerical Linear Algebra


Judul Urutkan menurut kutipan Urutkan menurut tahun Urutkan menurut judul	Dikutip oleh Dikutip oleh	Tahun
Randomized algorithms for the low-rank approximation of matrices E Liberty, F Woolfe, PG Martinsson, V Rokhlin, M Tygert Proceedings of the National Academy of Sciences 104 (51), 20167-20172, 2007	656	2007
A fast randomized algorithm for the approximation of matrices F Woolfe, E Liberty, V Rokhlin, M Tygert Applied and Computational Harmonic Analysis 25 (3), 335-366, 2008	442	2008
Simple and deterministic matrix sketching E Liberty Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	362	2013
Methods for filtering data and filling in missing data using nonlinear inference E Liberty, S Zucker, Y Keller, MM Maggioni, RR Coifman, F Geshwind US Patent App. 12/784,155, 2010	307	2010
Fast dimension reduction using Rademacher series on dual BCH codes N Ailon, E Liberty Discrete & Computational Geometry 42 (4), 615-630, 2009	271	2009
Frequent directions: Simple and deterministic matrix sketching M Ghashami, E Liberty, JM Phillips, DP Woodruff SIAM Journal on Computing 45 (5), 1762-1792, 2016	196	2016
An almost optimal unrestricted fast Johnson-Lindenstrauss transform N Ailon, E Liberty ACM Transactions on Algorithms (TALG) 9 (3), 1-12, 2013	175	2013
Estimating sizes of social networks via biased sampling L Katzir, E Liberty, O Somekh Proceedings of the 20th international conference on World wide web, 597-606, 2011	169	2011
Methods for displaying contextually targeted content on a connected television Z Neumeier, E Liberty US Patent 8,769,584, 2014	155	2014
Methods for filtering data and filling in missing data using nonlinear inference E Liberty, S Zucker, Y Keller, MM Maggioni, RR Coifman, F Geshwind US Patent App. 20,070/214,133, 2007	152	2007
Elastic machine learning algorithms in amazon sagemaker E Liberty, Z Karnin, B Xiang, L Rouesnel, B Coskun, R Nallapati, ... Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020	146	2020
Optimal quantile approximation in streams Z Karnin, K Lang, E Liberty 2016 ieee 57th annual symposium on foundations of computer science (focs), 71-78, 2016	136	2016
Methods for identifying video segments and displaying contextual targeted content on a connected television Z Neumeier, E Liberty US Patent 8,595,781, 2013	134	2013
An algorithm for online k-means clustering E Liberty, R Sriharsha, M Sviridenko 2016 Proceedings of the eighteenth workshop on algorithm engineering and …, 2016	130	2016
Proxquant: Quantized neural networks via proximal operators Y Bai, YX Wang, E Liberty arXiv preprint arXiv:1810.00861, 2018	128	2018
Combining video material and data JH Wilkinson US Patent 7,831,127, 2010	103*	2010
Online Principal Component Analysis C Boutsidis, D Garber, Z Karnin, E Liberty	89*
The mailman algorithm: A note on matrix–vector multiplication E Liberty, SW Zucker Information Processing Letters 109 (3), 179-182, 2009	75	2009
Methods for identifying video segments and displaying contextually targeted content on a connected television Z Neumeier, E Liberty US Patent 8,898,714, 2014	74*	2014
Stratified sampling meets machine learning K Lang, E Liberty, K Shmakov Proceedings of the 33rd International Conference on International Conference …, 2016	71*	2016

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