Danny Bickson

Publication Activity (10 Years)

Years Active: 2005-2016
Publications (10 Years): 2

Top Topics

Collaborative Filtering Recommendation Algorithm

Recommender Systems

Top Venues

Publications

Francesco Malandrino, Scott Kirkpatrick, Danny Bickson
What is LTE actually used for? An answer through multi-operator, crowd-sourced measurement. CoRR (2016)
Tao Ye, Danny Bickson, Denis Parra
LSRS'16: Workshop on Large-Scale Recommender Systems. RecSys (2016)
Tao Ye, Danny Bickson, Nicholas Ampazis, András A. Benczúr
LSRS'15: Workshop on Large-Scale Recommender Systems. RecSys (2015)
Jan Neumann, Danny Bickson, Hassan Sayyadi, Roberto Turrin, John Hannon
2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015). RecSys (2015)
Tao Ye, Danny Bickson, Qiang Yan
Second workshop on large-scale recommender systems: research and best practice (LSRS 2014). RecSys (2014)
Yucheng Low, Joseph E. Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework For Parallel Machine Learning. CoRR (2014)
Danny Bickson, John Hannon, Jan Neumann, Hassan Sayyadi
First workshop on recommendation systems for television and online video: (RecSysTV 2014). RecSys (2014)
Tao Ye, Danny Bickson, Quan Yuan
First workshop on large-scale recommender systems: research and best practice(LSRS 2013). RecSys (2013)
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) (2012)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
Distributed GraphLab: A Framework for Machine Learning in the Cloud CoRR (2012)
Joseph E. Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI (2012)
Yao Wu, Qiang Yan, Danny Bickson, Yucheng Low, Qing Yang
Efficient Multicore Collaborative Filtering CoRR (2011)
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
Parallel Coordinate Descent for L1-Regularized Loss Minimization. ICML (2011)
Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
Parallel Coordinate Descent for L1-Regularized Loss Minimization CoRR (2011)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin
GraphLab: A Distributed Framework for Machine Learning in the Cloud CoRR (2011)
Danny Bickson, Dror Baron, Alexander T. Ihler, Harel Avissar, Danny Dolev
Fault Identification Via Nonparametric Belief Propagation. IEEE Trans. Signal Process. 59 (6) (2011)
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
Kernel Belief Propagation. AISTATS (2011)
Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
Kernel Belief Propagation CoRR (2011)
Danny Bickson, Carlos Guestrin
Linear Characteristic Graphical Models: Representation, Inference and Applications CoRR (2010)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework For Parallel Machine Learning. UAI (2010)
Yucheng Low, Joseph Gonzalez, Aapo Kyrola, Danny Bickson, Carlos Guestrin, Joseph M. Hellerstein
GraphLab: A New Framework for Parallel Machine Learning CoRR (2010)
Danny Bickson, Ezra N. Hoch, Nir Naaman, Yoav Tock
A hybrid multicast-unicast infrastructure for efficient publish-subscribe in enterprise networks. SYSTOR (2010)
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) (2010)
Danny Bickson, Carlos Guestrin
Inference with Multivariate Heavy-Tails in Linear Models. NIPS (2010)
Danny Bickson, Ezra N. Hoch, Nir Naaman, Yoav Tock
A Hybrid Multicast-Unicast Infrastructure for Efficient Publish-Subscribe in Enterprise Networks CoRR (2009)
Danny Bickson, Harel Avissar, Danny Dolev, Stephen P. Boyd, Alexander T. Ihler, Dror Baron
Distributed Fault Identification via Non-parametric Belief Propagation CoRR (2009)
Jason K. Johnson, Danny Bickson, Danny Dolev
Fixing Convergence of Gaussian Belief Propagation CoRR (2009)
Danny Dolev, Argyris Zymnis, Stephen P. Boyd, Danny Bickson, Yoav Tock
Distributed large scale network utility maximization. ISIT (2009)
Danny Dolev, Danny Bickson, Jason K. Johnson
Fixing convergence of Gaussian belief propagation. ISIT (2009)
Danny Bickson, Alexander T. Ihler, Harel Avissar, Danny Dolev
A low density lattice decoder via non-parametric belief propagation. Allerton (2009)
Danny Bickson, Gidon Gershinsky, Ezra N. Hoch, Konstantin Shagin
A Statistical Approach to Performance Monitoring in Soft Real-Time Distributed Systems CoRR (2009)
Danny Bickson, Tzachy Reinman, Danny Dolev, Benny Pinkas
Peer-to-Peer Secure Multi-Party Numerical Computation Facing Malicious Adversaries CoRR (2009)
Danny Bickson, Yoav Tock, Argyris Zymnis, Stephen P. Boyd, Danny Dolev
Distributed Large Scale Network Utility Maximization CoRR (2009)
Danny Bickson, Danny Dolev
Distributed Sensor Selection via Gaussian Belief Propagation CoRR (2009)
Danny Bickson, Alexander T. Ihler, Danny Dolev
A Low Density Lattice Decoder via Non-Parametric Belief Propagation CoRR (2009)
Danny Bickson, Ezra N. Hoch, Harel Avissar, Danny Dolev
Self-stabilizing Numerical Iterative Computation CoRR (2009)
Danny Bickson, Elad Yom-Tov, Danny Dolev
A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines CoRR (2008)
Danny Bickson, Ori Shental, Danny Dolev
Distributed Kalman filter via Gaussian Belief Propagation. Allerton (2008)
Danny Bickson, Ori Shental, Danny Dolev
Distributed Kalman Filter via Gaussian Belief Propagation CoRR (2008)
Ezra N. Hoch, Danny Bickson, Danny Dolev
Self-stabilizing Numerical Iterative Computation CoRR (2008)
Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny Bickson, Danny Dolev
Gaussian belief propagation solver for systems of linear equations. ISIT (2008)
Danny Bickson
Gaussian Belief Propagation: Theory and Aplication CoRR (2008)
Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny Bickson, Danny Dolev
Gaussian Belief Propagation Solver for Systems of Linear Equations CoRR (2008)
Danny Bickson, Danny Dolev, Ori Shental, Paul H. Siegel, Jack K. Wolf
Gaussian Belief Propagation Based Multiuser Detection CoRR (2008)
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
Polynomial Linear Programming with Gaussian belief propagation. Allerton (2008)
Tal Anker, Danny Bickson, Danny Dolev, Bracha Hod
Efficient Clustering for Improving Network Performance in Wireless Sensor Networks. EWSN (2008)
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 (2008)
Ezra N. Hoch, Danny Bickson, Danny Dolev
Self-stabilizing Numerical Iterative Computation. SSS (2008)
Danny Bickson, Danny Dolev, Genia Bezman, Benny Pinkas
Peer-to-Peer Secure Multi-party Numerical Computation. Peer-to-Peer Computing (2008)
Danny Bickson, Danny Dolev, Ori Shental, Paul H. Siegel, Jack K. Wolf
Gaussian belief propagation based multiuser detection. ISIT (2008)
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) (2008)
Danny Bickson, Genia Bezman, Danny Dolev, Benny Pinkas
Peer-to-Peer Secure Multi-Party Numerical Computation CoRR (2008)
Danny Bickson, Yoav Tock, Ori Shental, Danny Dolev
Polynomial Linear Programming with Gaussian Belief Propagation CoRR (2008)
Danny Bickson, Roy Borer
The BitCod Client: A BitTorrent Clone using Network Coding. Peer-to-Peer Computing (2007)
Elliot Jaffe, Danny Bickson, Scott Kirkpatrick
Everlab: A Production Platform for Research in Network Experimentation and Computation. LISA (2007)
Danny Bickson, Dahlia Malkhi, Lidong Zhou
Peer-to-Peer Rating. Peer-to-Peer Computing (2007)
Danny Bickson, Dahlia Malkhi
The Julia Content Distribution Network. WORLDS (2005)
Ittai Abraham, Ankur Badola, Danny Bickson, Dahlia Malkhi, Sharad Maloo, Saar Ron
Practical Locality-Awareness for Large Scale Information Sharing. IPTPS (2005)