Apologies for multiple postings We are pleased to announce an evaluation of probabilistic approximate inference algorithms, as part of the UAI conference this July. All researchers working on inference in graphical models are encouraged to participate.
The web-page for the challenge is: http://www.cs.huji.ac.il/project/UAI10/. It contains all relevant technical information (file format, submission procedure etc). Submissions will be accepted starting May 10th. The evaluation will focus on the following computational tasks: - Calculating MAP assignments - Calculating partition functions - Calculating marginals Submitted algorithms can compete in some or all of these tasks. NEW FEATURES in this year's competition: - A special track will evaluate how well inference algorithms do when used as a black box for parameter learning. - There will be separate tracks for approximate algorithms that provide upper or lower bound guarantees and those that do not. Exact algorithms are of course invited to participate in any of these tracks. - Participants will receive automated performance reports and will be able to submit improvements during the entire competition period. A summarized leader board will be updated continuously. - There will be separate tracks for different running time regimes (i.e., 1 second, 20 minutes, two hours). We look forward to your participation, The organizers PRIZES - Four free UAI registrations will be awarded to the winning participants DATES - May 3 - Dataset and submission format announced. - May 10 - Submissions accepted on website. - June 25 - Final deadline for submissions. - July 1 - Final results and winners announced. - July 8-11 - Results reported at the UAI conference. ORGANIZERS - Gal Elidan - Hebrew University - Amir Globerson - Hebrew University PROGRAM COMMITTEE - Jeff Bilmes - Univ. of Washington - Rina Dechter - UC Irvine - Peter Grunwald - CWI - Isabelle Guyon - Clopinet - Peter Spirtes - CMU STUDENT ORGANIZER AND WEB-MASTER - Uri Heinemann - Hebrew University
_______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
