As part of DARPA's Probabilistic Programming for Advancing Machine Learning (PPAML) Galois Inc. is hosting a 'summer school' for probabilistic programming languages. From our perspective, the hope for this summer school is to increase visibility for the new technologies being developed and give us a better understanding of what improvements should be applied over the next 3 years. In return participants will leave with a greater exposure to probabilistic programming as a topic and the new technologies around it. The courses are partitioned into lectures on probabilistic programming/statistics and sessions where students can freely work on problems with access to the developers of the technologies. We are always excited to see participants arrive with their own problems and data-sets as well.

We are on the hunt for applicants who are interested in Probabilistic Programming Languages/Systems. This program is open to anyone who would find this fun.

Housing for the two week period will be provided at the government per diem rate for Portland, Oregon. Participants are expected to cover their own travel and housing costs. A limited amount of financial assistance may be available for currently enrolled University students.

The links to more information and applicant forms is here ::

  http://www.darpa.mil/Our_Work/I2O/Programs/Probabilistic_Programming_for_Advanced_Machine_Learning_(PPAML).aspx
  http://ppaml.galois.com/wiki/wiki/SummerSchools

In case you want to get a better understanding of what we're up to, materials from last year's summer school are located here ::

  http://ppaml.galois.com/wiki/wiki/SummerSchools/2014/LectureMaterials