Lab Home | Phone | Search
Center for Nonlinear Studies  Center for Nonlinear Studies
 Home 
 People 
 Current 
 Executive Committee 
 Postdocs 
 Visitors 
 Students 
 Research 
 Publications 
 Conferences 
 Workshops 
 Sponsorship 
 Talks 
 Seminars 
 Postdoc Seminars Archive 
 Quantum Lunch 
 Quantum Lunch Archive 
 P/T Colloquia 
 Archive 
 Ulam Scholar 
 
 Postdoc Nominations 
 Student Requests 
 Student Program 
 Visitor Requests 
 Description 
 Past Visitors 
 Services 
 General 
 
 History of CNLS 
 
 Maps, Directions 
 CNLS Office 
 T-Division 
 LANL 
 
Thursday, January 21, 2010
10:00 AM - 11:00 AM
CNLS Conference Room (TA-3, Bldg 1690)

Seminar

Graphical Models for Networks

Sujay Sanghavi
University of Texas at Austin

Graphical models, or Markov Random Fields, have been widely deployed in diverse statistical applications; this talk presents recent progress in their application to a new domain: networks. We present three results that show how graphical model algorithms for estimation, learning and sampling provide new algorithms for (1) resource allocation in wireless and sensor networks, (2) faster (i.e. lower delay) communication networks, and (3) network structure learning. We also show how our network settings seem to provide useful "special cases" which permit progress on an important general endeavour: obtaining detailed theoretical results on the performance of graphical model methods.

Host: Misha Chertkov