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Danny Bickson
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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
22782012
{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
21152012
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
9832014
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
4452010
Parallel coordinate descent for l1-regularized loss minimization
JK Bradley, A Kyrola, D Bickson, C Guestrin
arXiv preprint arXiv:1105.5379, 2011
3462011
The eMule protocol specification
Y Kulbak, D Bickson
eMule project, http://sourceforge. net, 2005
1992005
Gaussian belief propagation: Theory and aplication
D Bickson
arXiv preprint arXiv:0811.2518, 2008
1172008
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
1052008
Kernel belief propagation
L Song, A Gretton, D Bickson, Y Low, C Guestrin
Proceedings of the Fourteenth International Conference on Artificial …, 2011
802011
Efficient clustering for improving network performance in wireless sensor networks
T Anker, D Bickson, D Dolev, B Hod
European Conference on Wireless Sensor Networks, 221-236, 2008
582008
Practical locality-awareness for large scale information sharing
I Abraham, A Badola, D Bickson, D Malkhi, S Maloo, S Ron
International Workshop on Peer-to-Peer Systems, 173-181, 2005
552005
Fixing convergence of Gaussian belief propagation
JK Johnson, D Bickson, D Dolev
2009 IEEE International Symposium on Information Theory, 1674-1678, 2009
532009
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
512009
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
502008
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
382007
The emule protocol specification. eMule project
Y Kulbak, D Bickson
332005
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
312011
Efficient large scale content distribution
D Bickson, D Malkhi, D Rabinowitz
Proceedings of the 6th Workshop on Distributed Data and Structures (WDAS’2004), 2004
292004
A gaussian belief propagation solver for large scale support vector machines
D Bickson, E Yom-Tov, D Dolev
arXiv preprint arXiv:0810.1648, 2008
282008
The Julia Content Distribution Network.
D Bickson, D Malkhi
WORLDS, 2005
262005
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