Danny Bickson

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Carlos GuestrinProfessor, Stanford UniversityEmail verificata su stanford.edu
Danny DolevProfessor of Computer Science, The Hebrew UniversityEmail verificata su mail.huji.ac.il
Aapo KyrolaPh.D (Carnegie Mellon University, 2014)Email verificata su cs.cmu.edu
Joseph HellersteinJim Gray Professor of the Graduate School, UC BerkeleyEmail verificata su berkeley.edu
Ori ShentalBell LabsEmail verificata su nokia-bell-labs.com
Alexander IhlerUniversity of California, IrvineEmail verificata su ics.uci.edu
Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordEmail verificata su stanford.edu
Arthur GrettonGatsby Computational Neuroscience Unit and Google DeepmindEmail verificata su gatsby.ucl.ac.uk
Le SongGenBio AI, Mohamed bin Zayed University of Artificial IntelligenceEmail verificata su mbzuai.ac.ae
Benny PinkasBar Ilan UniversityEmail verificata su biu.ac.il
Yair WeissProfessor of Computer Science, Hebrew UniversityEmail verificata su mail.huji.ac.il
Elad Yom-TovBar Ilan UniversityEmail verificata su yom-tov.info
Ittai AbrahamIntelEmail verificata su cs.huji.ac.il

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Danny Bickson

Sr. Manager, Apple

Email verificata su cs.cmu.edu

Large scale machine learning graph analytics multicore and distributed iterative computation


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
{PowerGraph}: Distributed {Graph-Parallel} computation on natural graphs JE Gonzalez, Y Low, H Gu, D Bickson, C Guestrin 10th USENIX symposium on operating systems design and implementation (OSDI …, 2012	2559	2012
Distributed graphlab: A framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein arXiv preprint arXiv:1204.6078, 2012	2537	2012
Graphlab: A new framework for parallel machine learning Y Low, JE Gonzalez, A Kyrola, D Bickson, CE Guestrin, J Hellerstein arXiv preprint arXiv:1408.2041, 2014	1134	2014
Graphlab: A new parallel framework for machine learning Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin, JM Hellerstein Conference on uncertainty in artificial intelligence (UAI) 20, 2010	456	2010
Parallel coordinate descent for l1-regularized loss minimization JK Bradley, A Kyrola, D Bickson, C Guestrin arXiv preprint arXiv:1105.5379, 2011	370	2011
The eMule protocol specification Y Kulbak, D Bickson eMule project, http://sourceforge. net, 2005	209	2005
Gaussian belief propagation: Theory and aplication D Bickson arXiv preprint arXiv:0811.2518, 2008	152	2008
Gaussian belief propagation solver for systems of linear equations O Shental, PH Siegel, JK Wolf, D Bickson, D Dolev 2008 IEEE international symposium on information theory, 1863-1867, 2008	127	2008
Kernel belief propagation L Song, A Gretton, D Bickson, Y Low, C Guestrin Proceedings of the Fourteenth International Conference on Artificial …, 2011	91	2011
Efficient clustering for improving network performance in wireless sensor networks T Anker, D Bickson, D Dolev, B Hod Wireless Sensor Networks: 5th European Conference, EWSN 2008, Bologna, Italy …, 2008	57	2008
Practical locality-awareness for large scale information sharing I Abraham, A Badola, D Bickson, D Malkhi, S Maloo, S Ron Peer-to-Peer Systems IV: 4th International Workshop, IPTPS 2005, Ithaca, NY …, 2005	56	2005
Fixing convergence of Gaussian belief propagation JK Johnson, D Bickson, D Dolev 2009 IEEE International Symposium on Information Theory, 1674-1678, 2009	55	2009
Gaussian belief propagation based multiuser detection D Bickson, D Dolev, O Shental, PH Siegel, JK Wolf 2008 IEEE International Symposium on Information Theory, 1878-1882, 2008	55	2008
Distributed large scale network utility maximization D Bickson, Y Tock, A Zymnis, SP Boyd, D Dolev 2009 IEEE International Symposium on Information Theory, 829-833, 2009	51	2009
Linear detection via belief propagation D Bickson, O Shental, PH Siegel, JK Wolf, D Dolev Proc. 45th Allerton Conf. on Communications, Control and Computing, 2007	40	2007
The emule protocol specification. eMule project Y Kulbak, D Bickson	36	2005
Graphlab: A distributed framework for machine learning in the cloud Y Low, J Gonzalez, A Kyrola, D Bickson, C Guestrin arXiv preprint arXiv:1107.0922, 2011	31	2011
A gaussian belief propagation solver for large scale support vector machines D Bickson, E Yom-Tov, D Dolev arXiv preprint arXiv:0810.1648, 2008	29	2008
Efficient large scale content distribution D Bickson, D Malkhi, D Rabinowitz Proceedings of the 6th Workshop on Distributed Data and Structures (WDAS’2004), 2004	28	2004
The Julia Content Distribution Network. D Bickson, D Malkhi WORLDS, 2005	26	2005

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