Overview

Welcome to the webpage for NIPS 2011 workshop on parallel and large-scale machine learning.

This workshop aims to:

  • Bring together parallel system builders in industry and academia, machine learning algorithms experts, and end users to identify the key challenges, opportunities, and myths of Big Learning. What REALLY changes from the traditional learning setting when faced with terabytes or petabytes of data?
  • Solicit practical case studies, demos, benchmarks and lessons-learned presentations, and position papers.
  • Showcase recent and ongoing progress towards parallel ML algorithms
  • Provide a forum for exchange regarding tools, software, and systems that address the Big Learning problem.
  • Educate the researchers and practitioners across communities on state-of-the-art solutions and their limitations, particularly focusing on key criteria for selecting task- and domain-appropriate platforms and algorithms.

Venue: Montebajo: Theater

Dates: December 16-17, 2011

Click Here to Vote for Best Talk Award

Venue

The workshop will take place at the Montebajo: Theater.

Latest News

  • January 27, 2012: Slides for all the talks finally uploaded, videos coming soon!
  • January 2, 2012: Slides have been uploaded for most talks.
  • December 18, 2011: Thank you for coming! Videos/slides coming soon.
  • December 16, 2011: PDFs uploaded to Papers list.
  • December 13, 2011: Schedule changed for December 16th, Afternoon Session.
  • December 10, 2011: Workshop will take place at the Montebajo: Theater.
  • December 5, 2011: Tutorials on Vowpal Wabbit and Graphlab! See the schedule.

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Sponsors

Nvidia BigML Google Research
Microsoft Research Pascal 2

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