Connectionists: Call for contributions: NIPS 2009 Workshop on Large-Scale Machine Learning, Parallelism and Massive Datasets

[arthur gretton]

"NIPS 2009 Workshop: Large-Scale Machine Learning: Parallelism and
Massive Datasets"

Submissions are solicited for the workshop to be held on December 11th/
12th 2009 at this year's NIPS workshop session in Whistler, Canada.

This workshop will focus on the role of parallel computation in
machine learning with massive data.  Physical and economic limitations
have forced computer architecture towards parallelism and away from
exponential frequency scaling. Meanwhile, increased access to
ubiquitous sensing and the web has resulted in an explosion in the
size of machine learning tasks. In order to benefit from current and
future trends in processor technology we must discover, understand,
and exploit the available parallelism in machine learning. This
workshop will achieve four key goals:

    * Bring together people with varying approaches to parallelism in
machine learning to identify tools, techniques, and algorithmic ideas
which have lead to successful parallel learning.
    *  Invite researchers from related fields, including parallel
algorithms, computer architecture, scientific computing, and
distributed systems, who will provide new perspectives to the NIPS
community on these problems, and may also benefit from future
collaborations with the NIPS audience.
    * Identify the next key challenges and opportunities to parallel learning.
    * Discuss large-scale applications, e.g., those with real time
demands, that might benefit from parallel learning.


Contributions can include:

    * Multicore / Cluster based Learning Techniques
    * Machine Learning on Alternative Hardware (GPUs, Cell Processors,
FPGAs, iPhone, ...)
    * Distributed Learning
    * Learning results and techniques on Massive Datasets
    * Large Scale Kernel Methdos
    * Fast Online Algorithms
    * Parallel Computing Tools and Libraries

as well as other related topics.

Accepted submissions will be presented either as talks or during the
workshop poster session, depending on the proposals.  The deadline for
 submission will be October 23th 2009 and notifications will be sent
out by November 2nd 2009.  The submission should be at most four pages
long in NIPS format, and should be sent to "biglearn at gmail.com".