Graphical models are used and studied within a variety of disciplines of computer science, mathematics and statistics. The purpose of this meeting is to highlight various mathematical questions and issues associated with graphical models and message-passing algorithms, and to bring together a group of researchers for discussion of the latest progress and challenges ahead.
In addition to the substantial impact of graphical models in applied areas, they also are connected to various branches of the mathematical sciences. Rather than focusing on the applications, the primary goal of this meeting is to highlight and deepen these mathematical connections. Given the range of these connections, the area has great promise for growth.
More concretely, the past decade has witnessed exciting interplay between graphical models and the following branches of the mathematical sciences:
(Massachusetts Institute of Technology, Sloan School of Management)
Andrea Montanari (Stanford University)
Devavrat Shah, Chair (Massachusetts Institute of Technology)
Prasad Tetali (Georgia Institute of Technology)
Rüdiger Urbanke (EPFL (Ecole Polytechnique Fédérale de Lausanne))
Martin Wainwright (University of California, Berkeley (UC Berkeley))