DIMACS Workshop on Recent Advances in Mathematics and Information Sciences for Analysis and Understanding of Massive and Diverse Sources of Data

May 14 - 15, 2007
DIMACS Center, CoRE Building, Rutgers University

Organizers:

Wen Masters, Office of Naval Research, Wen_Masters@onr.navy.mil

Fred Roberts, DIMACS, froberts@dimacs.rutgers.edu

Workshop Program:

Monday, May 14, 2007

 8:00 -  8:55  Registration and Continental Breakfast at DIMACS

 8:55 -  9:15  Opening Remarks and Overview/Purpose of Workshop
	       Fred Roberts, DIMACS and Wen Masters, ONR

 9:15 -  9:35  Semisupervised Learning
               Anil Jain, Michigan State University
   
 9:45 - 10:05  Statistical relational learning
               Pedro Domingos, University of Washington 

10:15 - 10:35  Semantic Hierarchies in Knowledge Analysis and Integration
               Cliff Joslyn, Los Alamos

10:45 - 11:05  Break

11:15 - 11:35  Nonparametric sparsity 
               John Lafferty, Carnegie Mellon University 

11:45 - 12:05  Group and Hierarchical Sparisity through Composite Absolute Penalties
               Bin Yu, University of California at Berkeley

12:15 - 12:35  Methods for Discovering Topics in Large Document Collections
               David Blei, Princeton University

12:45 -  1:45  Lunch 

 1:45 -  2:05  Algorithmic Issues in Compressed Sensing
               Muthu Muthukrishnan, Rutgers University

 2:15 -  2:35  Bayesian Models, Prior Knowledge, and Data Fusion for Monitoring           	
               Messages and Identifying Authors
               Paul Kantor, Rutgers University

 2:45 -  3:05  Learning and Global Inference for Information Access and 
               Natural Language Understanding
               Dan Roth, University of Illinois

 3:15 -  3:35  Employing Recent Advances in Machine Learning for Opinion Summarization
               Claire Cardie, Cornell University

 3:45 -  4:15  Break

 4:15 -  4:45  Reactions by Discussants
               Alan Karr, NISS, Jared Tanner, University of Utah and
               Justin Romberg, Georgia Tech 

 4:45 -  6:15  Brainstorming Session

 6:15 -  7:15  Reception at DIMACS

 7:15 -  8:15  Banquet at DIMACS


Tuesday, May 15, 2007

 8:15 -  8:45  Continental Breakfast at DIMACS

 8:45 -  9:05  Compressive Sensing for High-Dimensional Data
               Rich Baraniuk, Rice University
  
 9:15 -  9:35  Inferring Data Inter-Relationships via Fast 
               Hierarchical Statistical Analysis
               Larry Carin, Duke University

 9:45 - 10:05  The Interplay of Analysis and Algorithms
               Anna Gilbert, University of Michigan

10:15 - 10:45  Break

10:45 - 11:05  Identifying Emergent Behavior in Distributed Data:  
               Preliminary Results from the Angle Project
               Robert Grossman, University of Illinois at Chicago
 
11:15 - 11:35  Effective Dimension Reduction with Prior Knowledge
               Hassun Park, Georgia Institute of Technology  

11:45 - 12:45  Lunch

12:45 -  1:05  Harmonic Analysis of Digital Data, Diffusion 
               Geometries and Multiscale Ontologies 
               Ronald Coifman 

 1:15 -  1:35  Topics in Compressed Sensing
               Emmanuel Candes, California Institute of Technology

 1:45 -  2:15  Break

 2:15 -  2:35  Reactions by Discussants
               Jon Kettenring, Drew University and Graham Cormode, AT&T Labs

 2:35 -  4:00  Brainstorming Session and Workshop Wrap Up

The Following is a list of other participants in the Workshop on Recent Advances in 
Mathematics and Information Sciences for Analysis and Understanding of Massive and 
Diverse Sources of Data:

  Behzad Kamgar-Parsi, ONR

  Wendy Martinez, ONR

  Wen Masters, ONR

  Larry Rosenblum, NSF

  Ken Shaw, ONR

  Ralph Wachter, ONR and NSF

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