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FR1.I: AMP and other Approximate Bayesian Inference Techniques

Session Type: Lecture
Time: Friday, 8 May, 08:00 - 10:00
Location: On-Demand
Session Chair: Dirk Slock, EURECOM
 
   FR1.I.1: JOINT FREQUENCY DOMAIN CHANNEL ESTIMATION AND EQUALIZATION BASED ON EXPECTATION PROPAGATION FOR SINGLE CARRIER TRANSMISSIONS
         Serdar Şahin; Thales
         Antonio Maria Cipriano; Thales
         Charly Poulliat; Toulouse INP - IRIT
         Marie-Laure Boucheret; Toulouse INP - IRIT
 
   FR1.I.2: BP-VB-EP BASED STATIC AND DYNAMIC SPARSE BAYESIAN LEARNING WITH KRONECKER STRUCTURED DICTIONARIES
         Christo Kurisummoottil Thomas; EURECOM
         Dirk Slock; EURECOM
 
   FR1.I.3: ROBUSTNESS OF SPARSE BAYESIAN LEARNING IN CORRELATED ENVIRONMENTS
         Rohan R. Pote; University of California, San Diego
         Bhaskar D. Rao; University of California, San Diego
 
   FR1.I.4: A SIMPLE DERIVATION OF AMP AND ITS STATE EVOLUTION VIA FIRST-ORDER CANCELLATION
         Philip Schniter; Ohio State University
 
   FR1.I.5: VAMP WITH VECTOR-VALUED DIAGONALIZATION
         Robert Fischer; Ulm University
         Carmen Sippel; Ulm University
         Norbert Goertz; Technische Universität Wien
 
   FR1.I.6: DISTRIBUTED VERIFICATION OF BELIEF PRECISIONS CONVERGENCE IN GAUSSIAN BELIEF PROPAGATION
         Bin Li; Beijing Institute of Technology
         Nan Wu; Beijing Institute of Technology
         Yik-Chung Wu; University of Hong Kong