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Technical Program

E-Th-2: Compressed Sensing and Sparse Recovery

Time: Thursday, June 17, 11:30 - 12:50
Location: Salon E
Session Chair: Parastoo Sadeghi, Australian National University
 
E-Th-2.1: "COMPRESSED" COMPRESSED SENSING
         Galen Reeves; University of California, Berkeley
         Michael Gastpar; University of California, Berkeley
 
E-Th-2.2: SAMPLE COMPLEXITY FOR 1-BIT COMPRESSED SENSING AND SPARSE CLASSIFICATION
         Ankit Gupta; Samsung Telecommunications America
         Robert Nowak; University of Wisconsin Madison
         Benjamin Recht; University of Wisconsin Madison
 
E-Th-2.3: PERFORMANCE TRADEOFFS FOR EXACT SUPPORT RECOVERY OF SPARSE SIGNALS
         Yuzhe Jin; University of California, San Diego
         Young-Han Kim; University of California, San Diego
         Bhaskar Rao; University of California, San Diego
 
E-Th-2.4: IMPROVED BOUNDS FOR SPARSE RECOVERY FROM ADAPTIVE MEASUREMENTS
         Jarvis Haupt; Rice University
         Rui Castro; Columbia University
         Robert Nowak; University of Wisconsin -- Madison
 

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