We welcome the submission of papers related to the intersection of spectral/linear algebra methods and probabilistic modeling. Possible topics could include (but are not limited to) spectral algorithms for learning and inference in probabilistic models, tensor decomposition methods, theoretical results, and applications of these approaches. The goal of the workshop is to bring together a wide variety of researchers from both theoretical and applied areas, and thus is open to a wide range of papers.
Submitted papers should be in NIPS 2012 format with a maximum of 4 pages (not including references). Please email your submission to email@example.com.