May 18-22, 2015

IMA Workshops

ORGANIZERS

David Gamarnik, Massachusetts Institute of TechnologyAndrea Montanari, Stanford UniversityDevavrat Shah, Massachusetts Institute of TechnologyPrasad Tetali, Georgia Institute of TechnologyRüdiger Urbanke, École Polytechnique Fédérale de Lausanne (EPFL)Martin Wainwright, University of California, Berkeley

SPEAKERSDimitris Achlioptas, University of California, Santa Cruz

Jose Bento, Boston College

Christian Borgs, Microsoft Research

Guy Bresler, Massachusetts Institute of Technology

Sébastien Bubeck, Microsoft Research

Jennifer Chayes, Microsoft Research

Yash Deshpande, Stanford University

Charilaos Efthymiou, Georgia Institute of Technology

Yash Kanoria, Columbia University

Christina Lee, Massachusetts Institute of Technology

Nicolas Macris, École Polytechnique Fédérale de Lausanne (EPFL)

Mike Molloy, University of Toronto

Elchanan Mossel, University of California, Berkeley

Sahand Negahban, Yale University

Sewong Oh, University of Illinois at Urbana-Champaign

Pablo Parrilo, Massachusetts Institute of Technology

Henry Pfister, Duke University

Kavita Ramanan, Brown University

Philippe Rigollet, Massachusetts Institute of Technology

Sujay Sanghavi, University of Texas at Austin

Jinwoo Shin, Korea Advanced Institute of Science and Technology (KAIST)

Aarti Singh, Carnegie Mellon University

Nike Sun, Microsoft Research

Yihong Wu, University of Illinois at Urbana-Champaign

Lenka Zdeborova, Centre National de la Recherche Scientifique (CNRS)

Graphical Models, Statistical Inference, and Algorithms (GRAMSIA)

Graphical models are used and studied within a variety of disciplines of computer science, mathematics, and statistics. The purpose of this workshop 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 on applied areas, they are also connected to various branches of the mathematical sciences. Rather than focusing on the applications, the primary goal is to highlight and deepen these mathematical connections. Given the range of these connections, the area has great promise for growth.

www.ima.umn.edu/2014-2015/W5.18-22.15

The IMA is a NSF-funded institute