[Comp-neuro] CfP Distributed machine learning and sparse representation with massive data sets

Oliver Obst oliver.obst at csiro.au
Tue Sep 28 16:20:49 CEST 2010


This is the first announcement of the 
DMMD 2011 Symposium: Distributed machine learning and sparse representation with massive data sets
Web page: http://research.ict.csiro.au/conferences/machine-learning/

The symposium will take place at the CSIRO Campus in Sydney (Marsfield), Australia.

The exponentially increasing demand for computing power as well as physical and economic limitations has contributed to a proliferation of distributed and parallel computer architectures. To make better use of current and future high-performance computing, and to fully benefit from these massive amounts of data, we must discover, understand and exploit the available parallelism in machine learning. Simultaneously, we have to model data in an adequate manner while keeping the models as simple as possible, by making use of a sparse representation of the data or sparse modelling of the respective underlying problem.


The invited speakers are:

Samy Bengio (Google Research, CA, USA)
Barbara Hammer (University of Bielefeld, Germany)
Yann LeCun (New York University, NY, USA)
Michael Mahoney (Stanford University, CA, USA)


Call for Papers / Extended Abstracts
Through a combination of invited talks, contributed presentations, discussions and posters, we hope to gain a better understanding of available algorithms and best practices, as well as their inherent limitations.
We are looking for submissions of short papers / extended abstracts (at most 4 pages in NIPS format), in one or more of the following areas:

- Distributed, Multicore and Cluster based Learning Techniques
- Machine Learning on Alternative Hardware (GPUs, Robots, Sensor Networks, Mobile Phones, Cell Processors ...)
- Sparsity in Machine Learning and Statistics 
- Learning results and techniques on Massive Datasets
- Dimensionality Reduction, Sparse Matrix, Large Scale Kernel Methods
- Fast Online Algorithms for Large Scale Data
- Parallel Computing Tools and Libraries

Selected submissions will be considered for a special issue of a journal or a collected volume on the topic of the symposium. A separate call for papers will then be issued after the event for the special issue/collected volume. Please refer to the web page for further details.


Attendance to DMMD 2011 is free, but limited to approx. 50 participants (first in, best dressed - please register by email). 

We can not provide travel support, but for a limited (small) number of interstate/overseas students, we will organise free accommodation. Priority will be given to students with an accepted paper. If you would like to be considered for this, please send an email to apply (deadline 1 November 2010). 


Important Dates
- Submission deadline: 1 November, 2010
- Registration deadline: 31 December, 2010
- Symposium: 18-20 January, 2011


Chair

Oliver Obst (CSIRO ICT Centre, Sydney)

Program Committee 

Samy Bengio (Google Research, CA, USA)
Joschka Boedecker (Osaka University, Japan)
Stephan Chalup (University of Newcastle, Newcastle)
Tim Cornwell (CSIRO CASS, Sydney)
Ying Guo (CSIRO ICT Centre, Sydney)
Barbara Hammer (University of Bielefeld, Germany)
Yann LeCun (New York University, NY, USA)
Simon Lucey (CSIRO ICT Centre, Sydney)
Michael Mahoney (Stanford University, CA, USA)
N. Michael Mayer (National Chung Cheng University, Taiwan)
Mikhail Prokopenko (CSIRO ICT Centre, Sydney)
Scott Sanner (NICTA & ANU, Canberra)
John A. Taylor (CSIRO CMIS, Canberra)
Rosalind Wang (CSIRO ICT Centre, Sydney)
--  
Oliver Obst                     form follows function (Louis Sullivan).
Adaptive Systems Team   CSIRO ICT Centre  http://research.ict.csiro.au/
+61 2 9372 4710                                  http://oliver.obst.eu/



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