The Information Structuralist

COST: NIPS 2011 Workshop on Computational Trade-offs in Statistical Learning

Posted in Optimization, Public Service Announcements, Statistical Learning and Inference by mraginsky on September 1, 2011

Alekh Agarwal and Sasha Rakhlin are organizing a workshop at this year’s NIPS. I’m on the program committee, so it is my duty (and distinct pleasure) to invite you all to peruse the full call for papers here, or at least to check out this key snippet:

We would like to welcome high-quality submissions on topics including but not limited to:

  • Fundamental statistical limits with bounded computation
  • Trade-offs between statistical accuracy and computational costs
  • Computation-preserving reductions between statistical problems
  • Algorithms to learn under budget constraints
  • Budget constraints on other resources (e.g. bounded memory)
  • Computationally aware approaches such as coarse-to-fine learning

Interesting submissions in other relevant topics not listed above are welcome too. Due to the time constraints, most accepted submissions will be presented as poster spotlights.

Oh, and did I mention that the workshop will take place in mid-December in Sierra Nevada, Spain?

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