Thank you to all those to attended the mini-symposium! Videos of several of the talks, and additional resources on machine learning and sustainability, can be found on the talks page.

Key Information

  • Date: Thursday, December 10th, 2009
  • Time: 1:30PM - 4:30PM
  • Room: Regency D, 3rd Floor
  • Location: Hyatt Regency, Vancouver, Canada
  • Conference: NIPS 2009
  • Contact: nips09-mlsust@cs.stanford.edu

Schedule

  • 1:30 - 1:40 - Opening Remarks
  • 1:40 - 2:05 - David Waltz
    Saving Energy with ML and IT
  • 2:05 - 2:30 - Saul Griffith
    What it Takes to Win the Carbon War
  • 2:30 - 3:00 - Coffee Break
  • 3:00 - 3:25 - Thomas Dietterich
    Ecological Science and Policy: Challenges for Machine Learning
  • 3:25 - 3:50 - Carlos Guestrin
    Optimizing Information Gathering in Environmental Monitoring
  • 3:50 - 4:15 - Warren Powell
    Approximate Dynamic Programming in Energy Resource Management
  • 4:15 - 4:25 - Closing Remarks