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- Joseph Gonzalez, Yucheng Low, Haijie Gu, Danny Bickson, Carlos Guestrin
- OSDI
- 2012

Large-scale graph-structured computation is central to tasks ranging from targeted advertising to natural language processing and has led to the development of several graph-parallel abstractionsâ€¦ (More)

While high-level data parallel frameworks, like MapReduce, simplify the design and implementation of large-scale data processing systems, they do not naturally or efficiently support many importantâ€¦ (More)

Designing and implementing efficient, provably correct parallel machine learning (ML) algorithms is challenging. Existing high-level parallel abstractions like MapReduce are insufficiently expressiveâ€¦ (More)

- Joseph K. Bradley, Aapo Kyrola, Danny Bickson, Carlos Guestrin
- ICML
- 2011

We propose Shotgun, a parallel coordinate descent algorithm for minimizing L1regularized losses. Though coordinate descent seems inherently sequential, we prove convergence bounds for Shotgun whichâ€¦ (More)

While high-level data parallel frameworks, like MapReduce, simplify the design and implementation of large-scale data processing systems, they do not naturally or efficiently support many importantâ€¦ (More)

This paper considers the problem of supporting high-bandwidth, scalable application level multicast. It provides a formal treatment of the problem which takes into consideration network distances. Itâ€¦ (More)

- Le Song, Arthur Gretton, Danny Bickson, Yucheng Low, Carlos Guestrin
- AISTATS
- 2011

We propose a nonparametric generalization of belief propagation, Kernel Belief Propagation (KBP), for pairwise Markov random fields. Messages are represented as functions in a reproducing kernelâ€¦ (More)

- Ori Shental, Paul H. Siegel, Jack K. Wolf, Danny Bickson, Danny Dolev
- 2008 IEEE International Symposium on Informationâ€¦
- 2008

The canonical problem of solving a system of linear equations arises in numerous contexts in information theory, communication theory, and related fields. In this contribution, we develop a solutionâ€¦ (More)

- Danny Dolev, Danny Bickson, Jason K. Johnson
- 2009 IEEE International Symposium on Informationâ€¦
- 2009

Gaussian belief propagation (GaBP) is an iterative message-passing algorithm for inference in Gaussian graphical models. It is known that when GaBP converges it converges to the correct MAP estimateâ€¦ (More)

- Danny Bickson, Elad Yom-Tov, Danny Dolev
- ArXiv
- 2007

Support vector machines (SVMs) are an extremely successful type of classification and regression algorithms. Building an SVM entails solving a constrained convex quadratic programming problem, whichâ€¦ (More)