1. The 2014 IEEE North American Summer School on Information Theory will take place June 18-21, 2014 at the Fields Institute in Toronto, Canada.
2. For those of you who use Matlab or Octave, there is a new Information Theoretical Estimators (ITE) toolbox, an open-source toolbox “capable of estimating many different variants of entropy, mutual information, divergence, association measures, cross quantities, and kernels on distributions.” Some more details are available in the guest post by the toolbox’s creator, Zoltán Zsabó, at the Princeton Information Theory b-log.
Endorse the petition to honor Claude Elwood Shannon with a United States Postal Service stamp on the 100th anniversary of his birth.
Welcome to the Princeton-Stanford Information Theory b-log! All researchers working on information theory are invited to participate by posting items to the blog. Both original material and pointers to the web are welcome.
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?