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Technical Program

E-Mo-3: Model Selection

Time: Monday, June 14, 14:40 - 16:00
Location: Salon E
Session Chair: Narayana Santhanam, University of Hawaii
 
E-Mo-3.1: INFORMATION-THEORETIC BOUNDS ON MODEL SELECTION FOR GAUSSIAN MARKOV RANDOM FIELDS
         Wei Wang; University of California, Berkeley
         Martin J. Wainwright; University of California, Berkeley
         Kannan Ramchandran; University of California, Berkeley
 
E-Mo-3.2: DIVERGENCE OF INFORMATION-CRITERION BASED MARKOV ORDER ESTIMATORS FOR INFINITE MEMORY PROCESSES
         Zsolt Talata; University of Kansas
 
E-Mo-3.3: PREQUENTIAL PLUG-IN CODES THAT ACHIEVE OPTIMAL REDUNDANCY RATES EVEN IF THE MODEL IS WRONG
         Peter Grunwald; National Research Institute for Mathematics and Computer Science in the Netherlands (CWI)
         Wojciech Kotlowski; National Research Institute for Mathematics and Computer Science in the Netherlands (CWI)
 
E-Mo-3.4: NECESSARY AND SUFFICIENT CONDITIONS FOR HIGH-DIMENSIONAL SALIENT FEATURE SUBSET RECOVERY
         Vincent Tan; Massachusetts Institute of Technology
         Matthew Johnson; Massachusetts Institute of Technology
         Alan Willsky; Massachusetts Institute of Technology
 

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