Connectionists: CFP: NIPS Workshop on Distributed Machine Learning and Matrix Computations

[Ameet Talwalkar]

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             CALL FOR CONTRIBUTIONS

                NIPS workshop on

       Distributed Machine Learning and Matrix Computations

       December 2014, Montreal, Canada

       http://stanford.edu/~rezab/nips2014workshop/

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Description
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The emergence of large distributed matrices in many applications has
brought with it a slew of new algorithms and tools. Over the past few
years, machine learning and numerical linear algebra on distributed
matrices has become a thriving field. Manipulating such large matrices
makes it necessary to think about distributed systems issues such as
communication cost.

This workshop aims to bring closer researchers in distributed systems
and large scale numerical linear algebra to foster cross-talk between
the two fields. The goal is to encourage distributed systems
researchers to work on machine learning and numerical linear algebra
problems, to inform machine learning researchers about new
developments on large scale matrix analysis, and to identify unique
challenges and opportunities. The workshop will conclude with a
session of contributed posters.

Goals of the Workshop
---------------------

This workshop will consist of invited talks and paper submissions for
a poster session. The target audience of this workshop includes
industry and academic researchers interested in machine learning,
large distributed systems, numerical linear algebra, and related
fields.

Submission deadline will be October 10th, 2014.
Acceptance decisions will be mailed out on or before October 24th, 2014.


Call for Contributions
----------------------

The workshop will consist of a mix of presentations and discussions.
Researchers who want to contribute should submit their paper to
distributed-ml-nips14 at lists.stanford.edu, in PDF format, following the
NIPS style guide.

*** The submission deadline is Friday October 10th ***

The organizers will review all submissions.


Organizers
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Reza Zadeh is a consulting professor at Stanford within the Institute
for Computational and Mathematical Engineering.
Website: http://stanford.edu/~rezab

Ameet Talwalkar is an assistant professor of Computer Science at UCLA.
Website: http://www.cs.berkeley.edu/~ameet/

Ion Stoica is a Professor of Computer Science at UC Berkeley.
Website: http://www.cs.berkeley.edu/~istoica/
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