Danny Bickson

Affiliations:
  • Carnegie Mellon University, Pittsburgh, USA


According to our database1, Danny Bickson authored at least 44 papers between 2005 and 2016.

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Bibliography

2016
What is LTE actually used for? An answer through multi-operator, crowd-sourced measurement.
CoRR, 2016

LSRS'16: Workshop on Large-Scale Recommender Systems.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015
LSRS'15: Workshop on Large-Scale Recommender Systems.
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2nd Workshop on Recommendation Systems for Television and Online Video (RecSysTV 2015).
Proceedings of the 9th ACM Conference on Recommender Systems, 2015

2014
Second workshop on large-scale recommender systems: research and best practice (LSRS 2014).
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

First workshop on recommendation systems for television and online video: (RecSysTV 2014).
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

2013
First workshop on large-scale recommender systems: research and best practice(LSRS 2013).
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012
Distributed GraphLab: A Framework for Machine Learning in the Cloud.
Proc. VLDB Endow., 2012

PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs.
Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

2011
Fault Identification Via Nonparametric Belief Propagation.
IEEE Trans. Signal Process., 2011

Kernel Belief Propagation.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Efficient Multicore Collaborative Filtering
CoRR, 2011

GraphLab: A Distributed Framework for Machine Learning in the Cloud
CoRR, 2011

Parallel Coordinate Descent for L1-Regularized Loss Minimization.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Peer-to-peer secure multi-party numerical computation facing malicious adversaries.
Peer-to-Peer Netw. Appl., 2010

Linear Characteristic Graphical Models: Representation, Inference and Applications
CoRR, 2010

GraphLab: A New Framework For Parallel Machine Learning.
Proceedings of the UAI 2010, 2010

A hybrid multicast-unicast infrastructure for efficient publish-subscribe in enterprise networks.
Proceedings of of SYSTOR 2010: The 3rd Annual Haifa Experimental Systems Conference, 2010

Inference with Multivariate Heavy-Tails in Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
Gaussian belief propagation : theory and application (פעפוע אמונות גאוסייני.).
PhD thesis, 2009

Distributed Fault Identification via Non-parametric Belief Propagation
CoRR, 2009

Distributed Sensor Selection via Gaussian Belief Propagation
CoRR, 2009

A Low Density Lattice Decoder via Non-Parametric Belief Propagation
CoRR, 2009

A Statistical Approach to Performance Monitoring in Soft Real-Time Distributed Systems
CoRR, 2009

Self-stabilizing Numerical Iterative Computation
CoRR, 2009

Distributed large scale network utility maximization.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Fixing convergence of Gaussian belief propagation.
Proceedings of the IEEE International Symposium on Information Theory, 2009

A low density lattice decoder via non-parametric belief propagation.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
A unifying framework of rating users and data items in peer-to-peer and social networks.
Peer-to-Peer Netw. Appl., 2008

Gaussian Belief Propagation: Theory and Aplication
CoRR, 2008

A Gaussian Belief Propagation Solver for Large Scale Support Vector Machines
CoRR, 2008

Gaussian Belief Propagation for Solving Systems of Linear Equations: Theory and Application
CoRR, 2008

Self-stabilizing Numerical Iterative Computation.
Proceedings of the Stabilization, 2008

Peer-to-Peer Secure Multi-party Numerical Computation.
Proceedings of the Proceedings P2P'08, 2008

Gaussian belief propagation solver for systems of linear equations.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Gaussian belief propagation based multiuser detection.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Efficient Clustering for Improving Network Performance in Wireless Sensor Networks.
Proceedings of the Wireless Sensor Networks, 5th European Conference, 2008

Polynomial Linear Programming with Gaussian belief propagation.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

Distributed Kalman filter via Gaussian Belief Propagation.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007
Peer-to-Peer Rating.
Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

The BitCod Client: A BitTorrent Clone using Network Coding.
Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), 2007

Everlab: A Production Platform for Research in Network Experimentation and Computation.
Proceedings of the 21th Large Installation System Administration Conference, 2007

2005
Practical Locality-Awareness for Large Scale Information Sharing.
Proceedings of the Peer-to-Peer Systems IV, 4th International Workshop, 2005

The Julia Content Distribution Network.
Proceedings of the Second USENIX Workshop on Real, Large Distributed Systems, 2005


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