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Danny Bickson
Person information
- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2010 – 2019
- 2016
- [c27]Tao Ye, Danny Bickson, Denis Parra
:
LSRS'16: Workshop on Large-Scale Recommender Systems. RecSys 2016: 421-422 - [i27]Francesco Malandrino, Scott Kirkpatrick, Danny Bickson:
What is LTE actually used for? An answer through multi-operator, crowd-sourced measurement. CoRR abs/1611.07782 (2016) - 2015
- [c26]Tao Ye, Danny Bickson, Nicholas Ampazis, András A. Benczúr:
LSRS'15: Workshop on Large-Scale Recommender Systems. RecSys 2015: 349-350 - [c25]Jan Neumann, Danny Bickson, Hassan Sayyadi, Roberto Turrin, John Hannon:
2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015). RecSys 2015: 353-354 - 2014
- [c24]Tao Ye, Danny Bickson, Qiang Yan:
Second workshop on large-scale recommender systems: research and best practice (LSRS 2014). RecSys 2014: 385-386 - [c23]Danny Bickson, John Hannon, Jan Neumann, Hassan Sayyadi:
First workshop on recommendation systems for television and online video: (RecSysTV 2014). RecSys 2014: 391-392 - [i26]Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework For Parallel Machine Learning. CoRR abs/1408.2041 (2014) - 2013
- [c22]Tao Ye, Danny Bickson, Quan Yuan:
First workshop on large-scale recommender systems: research and best practice(LSRS 2013). RecSys 2013: 487-488 - 2012
- [j4]Yucheng Low, Joseph Gonzalez
, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
Distributed GraphLab: A Framework for Machine Learning in the Cloud. Proc. VLDB Endow. 5(8): 716-727 (2012) - [c21]Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin:
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI 2012: 17-30 - [i25]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
Distributed GraphLab: A Framework for Machine Learning in the Cloud. CoRR abs/1204.6078 (2012) - 2011
- [j3]Danny Bickson, Dror Baron
, Alexander Ihler
, Harel Avissar, Danny Dolev
:
Fault Identification Via Nonparametric Belief Propagation. IEEE Trans. Signal Process. 59(6): 2602-2613 (2011) - [c20]Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML 2011: 321-328 - [c19]Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin:
Kernel Belief Propagation. AISTATS 2011: 707-715 - [i24]Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
Parallel Coordinate Descent for L1-Regularized Loss Minimization. CoRR abs/1105.5379 (2011) - [i23]Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin:
Kernel Belief Propagation. CoRR abs/1105.5592 (2011) - [i22]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin:
GraphLab: A Distributed Framework for Machine Learning in the Cloud. CoRR abs/1107.0922 (2011) - [i21]Yao Wu, Qiang Yan, Danny Bickson, Yucheng Low, Qing Yang:
Efficient Multicore Collaborative Filtering. CoRR abs/1108.2580 (2011) - 2010
- [j2]Danny Bickson, Tzachy Reinman, Danny Dolev
, Benny Pinkas:
Peer-to-peer secure multi-party numerical computation facing malicious adversaries. Peer-to-Peer Netw. Appl. 3(2): 129-144 (2010) - [c18]Danny Bickson, Carlos Guestrin:
Inference with Multivariate Heavy-Tails in Linear Models. NIPS 2010: 208-216 - [c17]Danny Bickson, Ezra N. Hoch, Nir Naaman, Yoav Tock:
A hybrid multicast-unicast infrastructure for efficient publish-subscribe in enterprise networks. SYSTOR 2010 - [c16]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework For Parallel Machine Learning. UAI 2010: 340-349 - [i20]Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein:
GraphLab: A New Framework for Parallel Machine Learning. CoRR abs/1006.4990 (2010) - [i19]Danny Bickson, Carlos Guestrin:
Linear Characteristic Graphical Models: Representation, Inference and Applications. CoRR abs/1008.5325 (2010)
2000 – 2009
- 2009
- [b1]Danny Bickson:
Gaussian belief propagation : theory and application (פעפוע אמונות גאוסייני.). Hebrew University of Jerusalem, Israel, 2009 - [c15]Danny Bickson, Alexander T. Ihler
, Harel Avissar, Danny Dolev:
A low density lattice decoder via non-parametric belief propagation. Allerton 2009: 439-446 - [c14]Danny Dolev, Argyris Zymnis, Stephen P. Boyd, Danny Bickson, Yoav Tock:
Distributed large scale network utility maximization. ISIT 2009: 829-833 - [c13]Danny Dolev, Danny Bickson, Jason K. Johnson:
Fixing convergence of Gaussian belief propagation. ISIT 2009: 1674-1678 - [i18]Danny Bickson, Ezra N. Hoch, Harel Avissar, Danny Dolev:
Self-stabilizing Numerical Iterative Computation. CoRR abs/0901.2682 (2009) - [i17]Danny Bickson, Yoav Tock, Argyris Zymnis, Stephen P. Boyd, Danny Dolev:
Distributed Large Scale Network Utility Maximization. CoRR abs/0901.2684 (2009) - [i16]Danny Bickson, Gidon Gershinsky, Ezra N. Hoch, Konstantin Shagin:
A Statistical Approach to Performance Monitoring in Soft Real-Time Distributed Systems. CoRR abs/0901.2685 (2009) - [i15]Danny Bickson, Ezra N. Hoch, Nir Naaman, Yoav Tock:
A Hybrid Multicast-Unicast Infrastructure for Efficient Publish-Subscribe in Enterprise Networks. CoRR abs/0901.2687 (2009) - [i14]Danny Bickson, Tzachy Reinman, Danny Dolev, Benny Pinkas:
Peer-to-Peer Secure Multi-Party Numerical Computation Facing Malicious Adversaries. CoRR abs/0901.2689 (2009) - [i13]Danny Bickson, Alexander T. Ihler, Danny Dolev:
A Low Density Lattice Decoder via Non-Parametric Belief Propagation. CoRR abs/0901.3197 (2009) - [i12]Jason K. Johnson, Danny Bickson, Danny Dolev:
Fixing Convergence of Gaussian Belief Propagation. CoRR abs/0901.4192 (2009) - [i11]Danny Bickson, Danny Dolev:
Distributed Sensor Selection via Gaussian Belief Propagation. CoRR abs/0907.0931 (2009) - [i10]Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander Ihler, Dror Baron:
Distributed Fault Identification via Non-parametric Belief Propagation. CoRR abs/0908.2005 (2009) - 2008
- [j1]Danny Bickson, Dahlia Malkhi:
A unifying framework of rating users and data items in peer-to-peer and social networks. Peer-to-Peer Netw. Appl. 1(2): 93-103 (2008) - [c12]Danny Bickson, Ori Shental, Danny Dolev:
Distributed Kalman filter via Gaussian Belief Propagation. Allerton 2008: 628-635 - [c11]Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev:
Polynomial Linear Programming with Gaussian belief propagation. Allerton 2008: 895-901 - [c10]Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod:
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks. EWSN 2008: 221-236 - [c9]Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny Bickson, Danny Dolev:
Gaussian belief propagation solver for systems of linear equations. ISIT 2008: 1863-1867 - [c8]Danny Bickson, Danny Dolev, Ori Shental, Paul H. Siegel, Jack K. Wolf:
Gaussian belief propagation based multiuser detection. ISIT 2008: 1878-1882 - [c7]Danny Bickson, Danny Dolev, Genia Bezman, Benny Pinkas:
Peer-to-Peer Secure Multi-party Numerical Computation. Peer-to-Peer Computing 2008: 257-266 - [c6]Ezra N. Hoch, Danny Bickson, Danny Dolev:
Self-stabilizing Numerical Iterative Computation. SSS 2008: 79-93 - [i9]Ori Shental, Danny Bickson, Paul H. Siegel, Jack K. Wolf, Danny Dolev:
Gaussian Belief Propagation for Solving Systems of Linear Equations: Theory and Application. CoRR abs/0810.1119 (2008) - [i8]Danny Bickson, Genia Bezman, Danny Dolev, Benny Pinkas:
Peer-to-Peer Secure Multi-Party Numerical Computation. CoRR abs/0810.1624 (2008) - [i7]Danny Bickson, Ori Shental, Danny Dolev:
Distributed Kalman Filter via Gaussian Belief Propagation. CoRR abs/0810.1628 (2008) - [i6]Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev:
Polynomial Linear Programming with Gaussian Belief Propagation. CoRR abs/0810.1631 (2008) - [i5]Danny Bickson, Elad Yom-Tov, Danny Dolev:
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines. CoRR abs/0810.1648 (2008) - [i4]Danny Bickson, Danny Dolev, Ori Shental, Paul H. Siegel, Jack K. Wolf:
Gaussian Belief Propagation Based Multiuser Detection. CoRR abs/0810.1729 (2008) - [i3]Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny Bickson, Danny Dolev:
Gaussian Belief Propagation Solver for Systems of Linear Equations. CoRR abs/0810.1736 (2008) - [i2]Danny Bickson:
Gaussian Belief Propagation: Theory and Aplication. CoRR abs/0811.2518 (2008) - [i1]Ezra N. Hoch, Danny Bickson, Danny Dolev:
Self-stabilizing Numerical Iterative Computation. CoRR abs/0811.3176 (2008) - 2007
- [c5]Elliot Jaffe, Danny Bickson, Scott Kirkpatrick:
Everlab: A Production Platform for Research in Network Experimentation and Computation. LISA 2007: 203-213 - [c4]Danny Bickson, Dahlia Malkhi, Lidong Zhou:
Peer-to-Peer Rating. Peer-to-Peer Computing 2007: 211-218 - [c3]Danny Bickson, Roy Borer:
The BitCod Client: A BitTorrent Clone using Network Coding. Peer-to-Peer Computing 2007: 231-232 - 2005
- [c2]Danny Bickson, Dahlia Malkhi:
The Julia Content Distribution Network. WORLDS 2005 - [c1]Ittai Abraham, Ankur Badola, Danny Bickson, Dahlia Malkhi, Sharad Maloo, Saar Ron:
Practical Locality-Awareness for Large Scale Information Sharing. IPTPS 2005: 173-181
Coauthor Index
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last updated on 2024-04-25 05:44 CEST by the dblp team
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